ssss AMD Ryzen 7 7840HS testing with a Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS) and AMD Radeon 780M 512MB on Ubuntu 24.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 7840HS @ 5.14GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital PC SN810 SDCPNRY-512G, Graphics: AMD Radeon 780M 512MB, Audio: AMD Navi 31 HDMI/DP, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406200600.0ac0fb~oibaf~n (git-0ac0fbc 2024-06-20 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2560x1600 b: Processor: AMD Ryzen 7 7840HS @ 5.14GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital PC SN810 SDCPNRY-512G, Graphics: AMD Radeon 780M 512MB, Audio: AMD Navi 31 HDMI/DP, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406200600.0ac0fb~oibaf~n (git-0ac0fbc 2024-06-20 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2560x1600 c: Processor: AMD Ryzen 7 7840HS @ 5.14GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital PC SN810 SDCPNRY-512G, Graphics: AMD Radeon 780M 512MB, Audio: AMD Navi 31 HDMI/DP, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406200600.0ac0fb~oibaf~n (git-0ac0fbc 2024-06-20 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2560x1600 d: Processor: AMD Ryzen 7 7840HS @ 5.14GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital PC SN810 SDCPNRY-512G, Graphics: AMD Radeon 780M 512MB, Audio: AMD Navi 31 HDMI/DP, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406200600.0ac0fb~oibaf~n (git-0ac0fbc 2024-06-20 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2560x1600 Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 11.06 |=============================================== b . 11.17 |================================================ c . 15.36 |================================================================== d . 15.86 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 3.141 |================================================= b . 3.127 |================================================= c . 4.207 |================================================================== d . 4.347 |==================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 547 |=================================================== b . 545 |=================================================== c . 738 |===================================================================== d . 746 |====================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 2.119 |================================================== b . 2.156 |=================================================== c . 2.824 |================================================================== d . 2.896 |==================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 1499 |=================================================== b . 1477 |=================================================== c . 1950 |=================================================================== d . 2012 |===================================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 2.228 |================================================== b . 2.268 |=================================================== c . 2.900 |================================================================= d . 3.017 |==================================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 1414 |=================================================== b . 1412 |=================================================== c . 1849 |=================================================================== d . 1905 |===================================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 21.22 |=================================================== b . 22.21 |===================================================== c . 27.87 |=================================================================== d . 28.44 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 2.174 |===================================================== b . 2.144 |==================================================== c . 2.707 |================================================================== d . 2.808 |==================================================================== XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 2001 |====================================================== b . 2018 |====================================================== c . 2580 |===================================================================== d . 2579 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 2263 |====================================================== b . 2261 |====================================================== c . 2885 |===================================================================== d . 2882 |===================================================================== Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 8.923 |===================================================== b . 9.339 |======================================================= c . 11.035 |================================================================= d . 11.299 |=================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 988 |======================================================= b . 993 |======================================================== c . 1234 |===================================================================== d . 1224 |==================================================================== XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 1011 |========================================================= b . 1010 |======================================================== c . 1202 |=================================================================== d . 1234 |===================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 1.182 |========================================================== b . 1.136 |======================================================== c . 1.327 |================================================================= d . 1.386 |==================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 548 |========================================================== b . 550 |========================================================== c . 656 |===================================================================== d . 663 |====================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 449 |============================================================= b . 449 |============================================================= c . 510 |===================================================================== d . 516 |====================================================================== LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 74 |====================================================================== b . 75 |======================================================================= c . 70 |================================================================== d . 70 |================================================================== LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 93 |======================================================================= b . 91 |===================================================================== c . 87 |================================================================== d . 87 |================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 33.38 |================================================================= b . 33.21 |================================================================ c . 35.17 |==================================================================== d . 35.07 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 15.42 |================================================================= b . 15.52 |================================================================= c . 16.23 |==================================================================== d . 16.14 |==================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 9.02 |===================================================================== b . 8.98 |===================================================================== c . 8.89 |==================================================================== d . 8.58 |================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 8.22 |===================================================================== b . 8.04 |=================================================================== c . 8.22 |===================================================================== d . 8.08 |==================================================================== simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 5.21 |==================================================================== b . 5.26 |===================================================================== c . 5.20 |==================================================================== d . 5.20 |==================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 8.86 |===================================================================== b . 8.79 |==================================================================== c . 8.83 |===================================================================== d . 8.85 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 1.55 |===================================================================== b . 1.56 |===================================================================== c . 1.55 |===================================================================== d . 1.55 |=====================================================================