Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1662 BIOS) and XFX AMD Radeon RX 7900 XTX 24GB on Ubuntu 24.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2408222-PTS-SSSS158023
ssss
Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1662 BIOS) and XFX AMD Radeon RX 7900 XTX 24GB on Ubuntu 24.04 via the Phoronix Test Suite.
a:
Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1662 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc6daily20240706-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1662 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc6daily20240706-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
c:
Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1662 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc6daily20240706-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
d:
Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1662 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc6daily20240706-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
e:
Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1662 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc6daily20240706-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
ONNX Runtime 1.19
Model: yolov4 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 14.02 |============================================================
b . 14.93 |================================================================
c . 15.80 |====================================================================
d . 15.08 |=================================================================
e . 13.50 |==========================================================
ONNX Runtime 1.19
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 17.35 |=================================================================
b . 17.71 |==================================================================
c . 16.36 |=============================================================
d . 17.46 |=================================================================
e . 18.16 |====================================================================
ONNX Runtime 1.19
Model: GPT-2 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 118.38 |===============================================================
b . 125.51 |===================================================================
c . 114.76 |=============================================================
d . 120.67 |================================================================
e . 121.40 |=================================================================
ONNX Runtime 1.19
Model: T5 Encoder - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 144.92 |==================================================================
b . 141.47 |=================================================================
c . 136.25 |==============================================================
d . 146.63 |===================================================================
e . 138.84 |===============================================================
ONNX Runtime 1.19
Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 1.007155 |===============================================================
b . 0.978795 |=============================================================
c . 1.041450 |=================================================================
d . 0.999466 |==============================================================
e . 0.967830 |============================================================
ONNX Runtime 1.19
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 194.15 |=================================================================
b . 200.33 |===================================================================
c . 200.77 |===================================================================
d . 196.61 |==================================================================
e . 192.69 |================================================================
ONNX Runtime 1.19
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 2.03157 |=================================================================
b . 1.98904 |===============================================================
c . 2.01980 |================================================================
d . 2.02126 |================================================================
e . 2.07055 |==================================================================
ONNX Runtime 1.19
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 46.64 |====================================================================
b . 45.26 |==================================================================
c . 46.72 |====================================================================
d . 45.58 |==================================================================
e . 46.10 |===================================================================
ONNX Runtime 1.19
Model: yolov4 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 17.24 |==================================================================
b . 17.64 |====================================================================
c . 17.14 |==================================================================
d . 17.41 |===================================================================
e . 17.38 |===================================================================
ONNX Runtime 1.19
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 96.19 |====================================================================
b . 95.60 |====================================================================
c . 94.84 |===================================================================
d . 94.43 |===================================================================
e . 93.55 |==================================================================
ONNX Runtime 1.19
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 59.54 |===================================================================
b . 60.02 |====================================================================
c . 58.61 |==================================================================
d . 59.17 |===================================================================
e . 60.20 |====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 8 - Input: Beauty 4K 10-bit
Frames Per Second > Higher Is Better
a . 8.359 |==================================================================
b . 8.501 |===================================================================
c . 8.485 |===================================================================
d . 8.514 |====================================================================
e . 8.568 |====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 58.88 |===================================================================
b . 59.44 |===================================================================
c . 59.24 |===================================================================
d . 60.08 |====================================================================
e . 58.83 |===================================================================
ONNX Runtime 1.19
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 21.76 |===================================================================
b . 21.89 |===================================================================
c . 22.01 |====================================================================
d . 22.08 |====================================================================
e . 21.62 |===================================================================
ONNX Runtime 1.19
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 313.19 |===================================================================
b . 310.17 |==================================================================
c . 312.62 |===================================================================
d . 313.70 |===================================================================
e . 307.62 |==================================================================
SVT-AV1 2.2
Encoder Mode: Preset 5 - Input: Beauty 4K 10-bit
Frames Per Second > Higher Is Better
a . 5.937 |===================================================================
b . 5.880 |===================================================================
c . 5.919 |===================================================================
d . 5.991 |====================================================================
e . 5.906 |===================================================================
SVT-AV1 2.2
Encoder Mode: Preset 5 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 82.46 |===================================================================
b . 83.75 |====================================================================
c . 82.45 |===================================================================
d . 83.75 |====================================================================
e . 82.22 |===================================================================
SVT-AV1 2.2
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 688.06 |==================================================================
b . 693.23 |==================================================================
c . 696.74 |===================================================================
d . 697.16 |===================================================================
e . 700.09 |===================================================================
SVT-AV1 2.2
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 187.97 |==================================================================
b . 188.99 |==================================================================
c . 190.83 |===================================================================
d . 187.63 |==================================================================
e . 190.47 |===================================================================
ONNX Runtime 1.19
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 315.35 |===================================================================
b . 313.47 |==================================================================
c . 315.74 |===================================================================
d . 316.77 |===================================================================
e . 312.49 |==================================================================
ONNX Runtime 1.19
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 972.40 |===================================================================
b . 965.84 |===================================================================
c . 972.91 |===================================================================
d . 965.12 |==================================================================
e . 960.34 |==================================================================
SVT-AV1 2.2
Encoder Mode: Preset 5 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 27.27 |===================================================================
b . 27.59 |====================================================================
c . 27.39 |====================================================================
d . 27.58 |====================================================================
e . 27.31 |===================================================================
SVT-AV1 2.2
Encoder Mode: Preset 3 - Input: Beauty 4K 10-bit
Frames Per Second > Higher Is Better
a . 1.330 |====================================================================
b . 1.324 |===================================================================
c . 1.335 |====================================================================
d . 1.330 |====================================================================
e . 1.320 |===================================================================
ONNX Runtime 1.19
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 87.00 |====================================================================
b . 86.61 |===================================================================
c . 87.03 |====================================================================
d . 87.24 |====================================================================
e . 87.43 |====================================================================
ONNX Runtime 1.19
Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 1.11819 |=================================================================
b . 1.12367 |==================================================================
c . 1.12825 |==================================================================
d . 1.12563 |==================================================================
e . 1.12443 |==================================================================
SVT-AV1 2.2
Encoder Mode: Preset 3 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 23.69 |====================================================================
b . 23.74 |====================================================================
c . 23.81 |====================================================================
d . 23.70 |====================================================================
e . 23.64 |====================================================================
ONNX Runtime 1.19
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 2.80524 |==================================================================
b . 2.81097 |==================================================================
c . 2.79435 |==================================================================
d . 2.80968 |==================================================================
e . 2.79826 |==================================================================
SVT-AV1 2.2
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 227.36 |===================================================================
b . 228.32 |===================================================================
c . 227.36 |===================================================================
d . 226.98 |===================================================================
e . 227.70 |===================================================================
SVT-AV1 2.2
Encoder Mode: Preset 3 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 7.451 |====================================================================
b . 7.478 |====================================================================
c . 7.442 |====================================================================
d . 7.474 |====================================================================
e . 7.446 |====================================================================
ONNX Runtime 1.19
Model: T5 Encoder - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 209.09 |===================================================================
b . 209.05 |===================================================================
c . 209.11 |===================================================================
d . 209.89 |===================================================================
e . 209.31 |===================================================================
ONNX Runtime 1.19
Model: GPT-2 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 176.40 |===================================================================
b . 176.61 |===================================================================
c . 176.61 |===================================================================
d . 176.04 |===================================================================
e . 176.42 |===================================================================
SVT-AV1 2.2
Encoder Mode: Preset 13 - Input: Beauty 4K 10-bit
Frames Per Second > Higher Is Better
a . 18.00 |====================================================================
b . 18.02 |====================================================================
c . 18.02 |====================================================================
d . 17.98 |====================================================================
e . 18.03 |====================================================================
ONNX Runtime 1.19
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 9.49206 |==================================================================
b . 9.47765 |==================================================================
c . 9.49620 |==================================================================
d . 9.49065 |==================================================================
e . 9.49647 |==================================================================
ONNX Runtime 1.19
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 16.79 |===================================================================
b . 16.66 |==================================================================
c . 17.06 |====================================================================
d . 16.90 |===================================================================
e . 16.61 |==================================================================
ONNX Runtime 1.19
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 21.44 |==================================================================
b . 22.09 |====================================================================
c . 21.40 |==================================================================
d . 21.94 |====================================================================
e . 21.69 |===================================================================
ONNX Runtime 1.19
Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 894.33 |===================================================================
b . 889.88 |===================================================================
c . 886.33 |==================================================================
d . 888.39 |===================================================================
e . 889.34 |===================================================================
ONNX Runtime 1.19
Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 993.33 |===============================================================
b . 1021.66 |=================================================================
c . 960.20 |=============================================================
d . 1000.53 |================================================================
e . 1033.24 |==================================================================
ONNX Runtime 1.19
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 11.49 |====================================================================
b . 11.55 |====================================================================
c . 11.49 |====================================================================
d . 11.46 |===================================================================
e . 11.44 |===================================================================
ONNX Runtime 1.19
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 10.40 |==================================================================
b . 10.46 |===================================================================
c . 10.54 |===================================================================
d . 10.59 |===================================================================
e . 10.69 |====================================================================
ONNX Runtime 1.19
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 3.17050 |=================================================================
b . 3.18971 |==================================================================
c . 3.16663 |=================================================================
d . 3.15625 |=================================================================
e . 3.19967 |==================================================================
ONNX Runtime 1.19
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 5.15165 |==================================================================
b . 4.99090 |===============================================================
c . 4.97989 |===============================================================
d . 5.08514 |=================================================================
e . 5.18875 |==================================================================
ONNX Runtime 1.19
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 105.35 |===================================================================
b . 105.51 |===================================================================
c . 105.30 |===================================================================
d . 105.37 |===================================================================
e . 105.30 |===================================================================
ONNX Runtime 1.19
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 104.50 |==============================================================
b . 110.43 |==================================================================
c . 108.73 |=================================================================
d . 112.62 |===================================================================
e . 103.66 |==============================================================
ONNX Runtime 1.19
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 9.63175 |==================================================================
b . 9.05554 |==============================================================
c . 9.19721 |===============================================================
d . 8.87924 |=============================================================
e . 9.64652 |==================================================================
ONNX Runtime 1.19
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 356.48 |===================================================================
b . 355.75 |===================================================================
c . 357.86 |===================================================================
d . 355.91 |===================================================================
e . 357.36 |===================================================================
ONNX Runtime 1.19
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 492.38 |==================================================================
b . 502.75 |===================================================================
c . 495.10 |==================================================================
d . 494.74 |==================================================================
e . 482.96 |================================================================
ONNX Runtime 1.19
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 1.02774 |=================================================================
b . 1.03469 |==================================================================
c . 1.02726 |=================================================================
d . 1.03550 |==================================================================
e . 1.04055 |==================================================================
ONNX Runtime 1.19
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 3.19209 |=================================================================
b . 3.22287 |=================================================================
c . 3.19755 |=================================================================
d . 3.18653 |=================================================================
e . 3.24962 |==================================================================
ONNX Runtime 1.19
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 45.97 |====================================================================
b . 45.68 |===================================================================
c . 45.42 |===================================================================
d . 45.29 |===================================================================
e . 46.25 |====================================================================
ONNX Runtime 1.19
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 57.63 |================================================================
b . 56.47 |===============================================================
c . 61.12 |====================================================================
d . 57.28 |================================================================
e . 55.08 |=============================================================
ONNX Runtime 1.19
Model: T5 Encoder - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 4.78134 |==================================================================
b . 4.78224 |==================================================================
c . 4.78108 |==================================================================
d . 4.76332 |==================================================================
e . 4.77650 |==================================================================
ONNX Runtime 1.19
Model: T5 Encoder - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 6.90233 |==============================================================
b . 7.06699 |================================================================
c . 7.33799 |==================================================================
d . 6.81870 |=============================================================
e . 7.20087 |=================================================================
ONNX Runtime 1.19
Model: ZFNet-512 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
ONNX Runtime 1.19
Model: ZFNet-512 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
ONNX Runtime 1.19
Model: yolov4 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 58.02 |====================================================================
b . 56.69 |==================================================================
c . 58.36 |====================================================================
d . 57.45 |===================================================================
e . 57.52 |===================================================================
ONNX Runtime 1.19
Model: yolov4 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 71.37 |=================================================================
b . 66.98 |=============================================================
c . 63.30 |==========================================================
d . 66.31 |=============================================================
e . 74.10 |====================================================================
ONNX Runtime 1.19
Model: GPT-2 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 5.66499 |==================================================================
b . 5.65885 |==================================================================
c . 5.65828 |==================================================================
d . 5.67701 |==================================================================
e . 5.66489 |==================================================================
ONNX Runtime 1.19
Model: GPT-2 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 8.44437 |================================================================
b . 7.96304 |============================================================
c . 8.70901 |==================================================================
d . 8.28234 |===============================================================
e . 8.23308 |==============================================================