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AMD Ryzen 7 7840U testing with a PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS) and AMD Phoenix1 512MB on Ubuntu 23.10 via the Phoronix Test Suite.

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February 03
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February 03
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onnx new AMD Ryzen 7 7840U testing with a PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS) and AMD Phoenix1 512MB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads), Motherboard: PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 4GB DRAM-6400MT/s K3LKBKB0BM-MGCP, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2401230600.42fc83~oibaf~m (git-42fc83a 2024-01-23 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3200x2000 b: Processor: AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads), Motherboard: PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 4GB DRAM-6400MT/s K3LKBKB0BM-MGCP, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2401230600.42fc83~oibaf~m (git-42fc83a 2024-01-23 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3200x2000 c: Processor: AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads), Motherboard: PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 4GB DRAM-6400MT/s K3LKBKB0BM-MGCP, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2401230600.42fc83~oibaf~m (git-42fc83a 2024-01-23 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3200x2000 ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 8.30376 |================================================================== b . 7.38226 |========================================================== c . 8.34866 |================================================================== ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 1.30753 |================================================================= b . 1.17670 |=========================================================== c . 1.32231 |================================================================== ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 208.12 |================================================================== b . 191.25 |============================================================= c . 210.21 |=================================================================== ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 199.72 |=================================================================== b . 182.77 |============================================================= c . 198.33 |=================================================================== ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 61.10 |==================================================================== b . 55.96 |============================================================== c . 59.74 |================================================================== ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 5.61840 |================================================================ b . 5.35577 |============================================================= c . 5.81626 |================================================================== ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 18.45 |==================================================================== b . 17.01 |=============================================================== c . 18.18 |=================================================================== ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 420.38 |================================================================== b . 394.10 |============================================================== c . 424.32 |=================================================================== ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 438.11 |=================================================================== b . 407.24 |============================================================== c . 430.54 |================================================================== ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 99.38 |============================================================== b . 100.28 |=============================================================== c . 106.85 |=================================================================== ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 36.00 |=================================================================== b . 34.48 |================================================================= c . 36.29 |==================================================================== ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 125.55 |=================================================================== b . 123.39 |================================================================== c . 122.08 |================================================================= ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 91.75 |=================================================================== b . 91.27 |=================================================================== c . 92.97 |==================================================================== ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 116.58 |=================================================================== b . 115.71 |================================================================== c . 117.37 |=================================================================== ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 23.47 |============================================================== b . 22.80 |============================================================ c . 25.68 |==================================================================== ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 42.60 |================================================================== b . 44.05 |==================================================================== c . 38.94 |============================================================ ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 27.77 |================================================================= b . 29.00 |==================================================================== c . 27.56 |================================================================= ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 11.20 |==================================================== b . 14.68 |==================================================================== c . 11.24 |==================================================== ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 89.27 |==================================================================== b . 70.41 |====================================================== c . 88.94 |==================================================================== ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 16.37 |============================================================== b . 17.87 |==================================================================== c . 16.74 |================================================================ ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 4.80345 |============================================================= b . 5.22787 |================================================================== c . 4.75585 |============================================================ ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 5.00581 |============================================================ b . 5.47098 |================================================================== c . 5.04136 |============================================================= ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 36.37 |============================================= b . 50.39 |============================================================== c . 55.12 |==================================================================== ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 27.50 |==================================================================== b . 20.56 |=================================================== c . 18.14 |============================================= ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 54.20 |=============================================================== b . 58.78 |==================================================================== c . 55.00 |================================================================ ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 764.80 |============================================================ b . 849.86 |=================================================================== c . 756.25 |============================================================ ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 1302.65 |=============================================================== b . 1368.27 |================================================================== c . 1247.80 |============================================================ ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 0.767664 |============================================================== b . 0.733399 |=========================================================== c . 0.801406 |================================================================= ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 2.28112 |============================================================= b . 2.45823 |================================================================== c . 2.32098 |============================================================== ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 2.37678 |============================================================== b . 2.53589 |================================================================== c . 2.35443 |============================================================= ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 123.98 |=================================================================== b . 106.17 |========================================================= c . 123.44 |=================================================================== ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 8.06563 |====================================================== b . 9.85290 |================================================================== c . 8.10071 |====================================================== ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 120.43 |============================================================ b . 135.50 |=================================================================== c . 119.78 |=========================================================== ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 7.96284 |================================================================ b . 8.10241 |================================================================= c . 8.18943 |================================================================== ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 8.57597 |================================================================= b . 8.64193 |================================================================== c . 8.51836 |================================================================= ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 180.28 |=================================================================== b . 148.74 |======================================================= c . 179.60 |=================================================================== ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 5.54675 |====================================================== b . 6.84051 |================================================================== c . 5.56792 |====================================================== ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 177.98 |================================================================ b . 186.85 |=================================================================== c . 171.93 |============================================================== ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 10.05490 |================================================================= b . 9.99957 |================================================================= c . 9.35371 |============================================================ ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 10.90 |==================================================================== b . 10.95 |==================================================================== c . 10.75 |===================================================================