Tests for a future article. 2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 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 2304013-NE-XEONEOMAR35
xeon eo march
Tests for a future article. 2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 via the Phoronix Test Suite.
a:
Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Ice Lake IEH, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP
OS: Ubuntu 22.10, Kernel: 6.2.0-rc5-phx-dodt (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.3, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Ice Lake IEH, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP
OS: Ubuntu 22.10, Kernel: 6.2.0-rc5-phx-dodt (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.3, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
c:
Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Ice Lake IEH, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP
OS: Ubuntu 22.10, Kernel: 6.2.0-rc5-phx-dodt (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.3, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
RocksDB 8.0
Test: Sequential Fill
Op/s > Higher Is Better
a . 106061 |===================================================================
b . 106147 |===================================================================
c . 106227 |===================================================================
MariaDB 11.0.1
Clients: 512
Queries Per Second > Higher Is Better
a . 110 |======================================================================
b . 110 |======================================================================
c . 110 |======================================================================
MariaDB 11.0.1
Clients: 1024
Queries Per Second > Higher Is Better
a . 110 |=====================================================================
b . 110 |=====================================================================
c . 111 |======================================================================
MariaDB 11.0.1
Clients: 2048
Queries Per Second > Higher Is Better
a . 111 |=====================================================================
b . 112 |======================================================================
c . 111 |=====================================================================
MariaDB 11.0.1
Clients: 4096
Queries Per Second > Higher Is Better
a . 115 |======================================================================
b . 115 |======================================================================
c . 114 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: ResNet-50
images/sec > Higher Is Better
a . 71.38 |====================================================================
b . 71.21 |===================================================================
c . 71.74 |====================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 705.68 |===================================================================
b . 656.80 |==============================================================
oneDNN 3.1
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 466.73 |==================================================================
b . 471.80 |===================================================================
OpenCV 4.7
Test: Graph API
ms < Lower Is Better
a . 671086 |===================================================================
b . 597049 |============================================================
oneDNN 3.1
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 708.53 |================================================================
b . 737.56 |===================================================================
OpenCV 4.7
Test: Stitching
ms < Lower Is Better
a . 508105 |===================================================================
b . 489265 |=================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Video On Demand
FPS > Higher Is Better
a . 16.90 |====================================================================
b . 16.87 |====================================================================
c . 16.79 |====================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Video On Demand
Seconds < Lower Is Better
a . 448.21 |===================================================================
b . 448.99 |===================================================================
c . 451.26 |===================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Platform
FPS > Higher Is Better
a . 16.88 |====================================================================
b . 16.90 |====================================================================
c . 16.84 |====================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Platform
Seconds < Lower Is Better
a . 448.63 |===================================================================
b . 448.26 |===================================================================
c . 449.86 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
a . 60.21 |===================================================================
b . 60.09 |===================================================================
c . 60.71 |====================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Upload
FPS > Higher Is Better
a . 8.62 |====================================================================
b . 8.66 |=====================================================================
c . 8.71 |=====================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Upload
Seconds < Lower Is Better
a . 292.80 |===================================================================
b . 291.57 |===================================================================
c . 289.92 |==================================================================
FFmpeg 6.0
Encoder: libx264 - Scenario: Upload
FPS > Higher Is Better
a . 9.91 |=====================================================================
b . 9.97 |=====================================================================
c . 9.81 |====================================================================
FFmpeg 6.0
Encoder: libx264 - Scenario: Upload
Seconds < Lower Is Better
a . 254.90 |==================================================================
b . 253.32 |==================================================================
c . 257.31 |===================================================================
OpenCV 4.7
Test: Image Processing
ms < Lower Is Better
a . 356989 |===================================================================
b . 293481 |=======================================================
OpenCV 4.7
Test: Features 2D
ms < Lower Is Better
a . 270872 |===================================================
b . 356993 |===================================================================
Timed LLVM Compilation 16.0
Build System: Unix Makefiles
Seconds < Lower Is Better
a . 286.22 |==================================================================
b . 286.24 |==================================================================
c . 288.95 |===================================================================
Blender 3.5
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 244.20 |===================================================================
b . 243.71 |===================================================================
c . 244.89 |===================================================================
FFmpeg 6.0
Encoder: libx264 - Scenario: Video On Demand
FPS > Higher Is Better
a . 36.21 |====================================================================
b . 35.16 |==================================================================
c . 35.33 |==================================================================
FFmpeg 6.0
Encoder: libx264 - Scenario: Video On Demand
Seconds < Lower Is Better
a . 209.22 |=================================================================
b . 215.44 |===================================================================
c . 214.38 |===================================================================
FFmpeg 6.0
Encoder: libx264 - Scenario: Platform
FPS > Higher Is Better
a . 35.63 |===================================================================
b . 35.64 |===================================================================
c . 36.21 |====================================================================
FFmpeg 6.0
Encoder: libx264 - Scenario: Platform
Seconds < Lower Is Better
a . 212.62 |===================================================================
b . 212.54 |===================================================================
c . 209.19 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
a . 257.44 |===================================================================
b . 258.17 |===================================================================
c . 258.13 |===================================================================
VP9 libvpx Encoding 1.13
Speed: Speed 0 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 2.88 |=====================================================================
b . 2.90 |=====================================================================
c . 2.88 |=====================================================================
Timed Node.js Compilation 19.8.1
Time To Compile
Seconds < Lower Is Better
a . 203.68 |==================================================================
b . 202.83 |=================================================================
c . 207.61 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 38.90 |====================================================================
b . 38.63 |====================================================================
c . 38.71 |====================================================================
VVenC 1.7
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 3.261 |====================================================================
b . 3.221 |===================================================================
c . 3.191 |===================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Live
FPS > Higher Is Better
a . 33.78 |==================================================================
b . 34.57 |====================================================================
c . 34.24 |===================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Live
Seconds < Lower Is Better
a . 149.48 |===================================================================
b . 146.07 |=================================================================
c . 147.51 |==================================================================
Timed LLVM Compilation 16.0
Build System: Ninja
Seconds < Lower Is Better
a . 180.77 |===================================================================
b . 181.17 |===================================================================
c . 180.06 |===================================================================
OpenSSL 3.1
Algorithm: ChaCha20-Poly1305
byte/s > Higher Is Better
a . 293957452870 |=============================================================
b . 294463651570 |=============================================================
c . 294001151180 |=============================================================
OpenSSL 3.1
Algorithm: AES-256-GCM
byte/s > Higher Is Better
a . 709965487310 |=============================================================
b . 712463205990 |=============================================================
c . 710407167180 |=============================================================
OpenSSL 3.1
Algorithm: AES-128-GCM
byte/s > Higher Is Better
a . 799202790060 |============================================================
b . 802646430240 |=============================================================
c . 806241823680 |=============================================================
OpenSSL 3.1
Algorithm: ChaCha20
byte/s > Higher Is Better
a . 425091630970 |=============================================================
b . 425550559910 |=============================================================
c . 425195437530 |=============================================================
OpenSSL 3.1
Algorithm: SHA256
byte/s > Higher Is Better
a . 57611766850 |==============================================================
b . 54810975320 |===========================================================
c . 57348072400 |==============================================================
OpenSSL 3.1
Algorithm: SHA512
byte/s > Higher Is Better
a . 22617583540 |==============================================================
b . 22641175270 |==============================================================
c . 22228899690 |=============================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 35.46 |=============================================================
b . 39.80 |====================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 711.38 |===============================================================
b . 752.43 |===================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 453.91 |===================================================================
b . 437.40 |=================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 455.60 |===================================================================
b . 447.36 |==================================================================
AOM AV1 3.6
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 5.01 |=====================================================================
b . 4.93 |====================================================================
c . 4.95 |====================================================================
Timed Godot Game Engine Compilation 4.0
Time To Compile
Seconds < Lower Is Better
a . 148.77 |===================================================================
b . 148.85 |===================================================================
c . 146.51 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
a . 214.30 |===================================================================
b . 213.49 |===================================================================
c . 213.69 |===================================================================
OpenCV 4.7
Test: Video
ms < Lower Is Better
a . 121173 |=============================================================
b . 133100 |===================================================================
VVenC 1.7
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 5.029 |====================================================================
b . 4.998 |====================================================================
c . 5.012 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 30.87 |====================================================================
b . 30.80 |====================================================================
c . 31.00 |====================================================================
oneDNN 3.1
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1.46571 |==========================================================
b . 1.65880 |==================================================================
VP9 libvpx Encoding 1.13
Speed: Speed 5 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 5.20 |=====================================================================
b . 5.04 |===================================================================
c . 5.02 |===================================================================
oneDNN 3.1
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.56877 |=================
b . 10.05550 |=================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
a . 518.73 |===================================================================
b . 513.22 |==================================================================
c . 514.40 |==================================================================
OpenCV 4.7
Test: Object Detection
ms < Lower Is Better
a . 119494 |===================================================================
b . 103986 |==========================================================
OpenCV 4.7
Test: DNN - Deep Neural Network
ms < Lower Is Better
a . 115385 |===================================================================
b . 107827 |===============================================================
VP9 libvpx Encoding 1.13
Speed: Speed 0 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 5.71 |=====================================================================
b . 5.66 |====================================================================
c . 5.73 |=====================================================================
AOM AV1 3.6
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 8.16 |===================================================================
b . 8.40 |=====================================================================
c . 7.99 |==================================================================
oneDNN 3.1
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 18.01146 |=================================================================
b . 5.37587 |===================
Build2 0.15
Time To Compile
Seconds < Lower Is Better
a . 93.00 |===================================================================
b . 94.97 |====================================================================
c . 92.48 |==================================================================
ONNX Runtime 1.14
Model: GPT-2 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 10.81 |====================================================================
b . 10.89 |====================================================================
c . 10.71 |===================================================================
ONNX Runtime 1.14
Model: GPT-2 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 92.43 |===================================================================
b . 91.76 |===================================================================
c . 93.32 |====================================================================
ONNX Runtime 1.14
Model: GPT-2 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 5.45281 |==================================================================
b . 5.34648 |=================================================================
c . 5.40610 |=================================================================
ONNX Runtime 1.14
Model: GPT-2 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 183.30 |==================================================================
b . 186.94 |===================================================================
c . 184.88 |==================================================================
ONNX Runtime 1.14
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 320.96 |===============================================================
b . 341.19 |===================================================================
c . 340.99 |===================================================================
ONNX Runtime 1.14
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 3.11560 |==================================================================
b . 2.93086 |==============================================================
c . 2.93257 |==============================================================
ONNX Runtime 1.14
Model: yolov4 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 98.12 |===================================================================
b . 98.61 |===================================================================
c . 99.41 |====================================================================
ONNX Runtime 1.14
Model: yolov4 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 10.19 |====================================================================
b . 10.14 |====================================================================
c . 10.06 |===================================================================
ONNX Runtime 1.14
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 75.44 |===================================================================
b . 76.75 |====================================================================
c . 74.46 |==================================================================
ONNX Runtime 1.14
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 13.25 |===================================================================
b . 13.03 |==================================================================
c . 13.43 |====================================================================
ONNX Runtime 1.14
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 62.01 |===================================================================
b . 61.29 |===================================================================
c . 62.65 |====================================================================
ONNX Runtime 1.14
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 16.13 |===================================================================
b . 16.31 |====================================================================
c . 15.96 |===================================================================
ONNX Runtime 1.14
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 30.60 |==================================================================
b . 30.60 |==================================================================
c . 31.31 |====================================================================
ONNX Runtime 1.14
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 32.68 |====================================================================
b . 32.68 |====================================================================
c . 31.93 |==================================================================
ONNX Runtime 1.14
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 27.62 |===============================================================
b . 29.69 |====================================================================
c . 26.98 |==============================================================
ONNX Runtime 1.14
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 36.20 |==================================================================
b . 33.68 |==============================================================
c . 37.05 |====================================================================
ONNX Runtime 1.14
Model: yolov4 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 87.99 |====================================================================
b . 84.05 |=================================================================
c . 85.51 |==================================================================
ONNX Runtime 1.14
Model: yolov4 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 11.36 |=================================================================
b . 11.90 |====================================================================
c . 11.69 |===================================================================
ONNX Runtime 1.14
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 106.66 |===================================================================
b . 105.53 |==================================================================
c . 106.35 |===================================================================
ONNX Runtime 1.14
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 9.37499 |=================================================================
b . 9.47539 |==================================================================
c . 9.40220 |=================================================================
ONNX Runtime 1.14
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 44.86 |===================================================================
b . 45.56 |====================================================================
ONNX Runtime 1.14
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 22.29 |====================================================================
b . 21.95 |===================================================================
ONNX Runtime 1.14
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 37.67 |====================================================================
b . 31.20 |========================================================
ONNX Runtime 1.14
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 26.54 |========================================================
b . 32.05 |====================================================================
nginx 1.23.2
Connections: 500
Requests Per Second > Higher Is Better
a . 222945.56 |===============================================================
b . 226231.19 |================================================================
c . 225697.84 |================================================================
nginx 1.23.2
Connections: 200
Requests Per Second > Higher Is Better
a . 245504.32 |================================================================
b . 244509.87 |================================================================
c . 246434.82 |================================================================
ONNX Runtime 1.14
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 1.59956 |================================================================
b . 1.64503 |==================================================================
c . 1.59992 |================================================================
ONNX Runtime 1.14
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 624.46 |===================================================================
b . 607.24 |=================================================================
c . 624.35 |===================================================================
Apache HTTP Server 2.4.56
Concurrent Requests: 500
Requests Per Second > Higher Is Better
a . 37442.60 |=================================================================
b . 37076.95 |================================================================
ONNX Runtime 1.14
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 1.42719 |==================================================================
b . 1.41212 |=================================================================
c . 1.41518 |=================================================================
ONNX Runtime 1.14
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 699.96 |==================================================================
b . 707.31 |===================================================================
c . 705.80 |===================================================================
Apache HTTP Server 2.4.56
Concurrent Requests: 200
Requests Per Second > Higher Is Better
a . 34680.57 |===========================================================
b . 38092.88 |=================================================================
ONNX Runtime 1.14
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 5.25466 |=================================================================
b . 5.33429 |==================================================================
ONNX Runtime 1.14
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 190.26 |===================================================================
b . 187.42 |==================================================================
ONNX Runtime 1.14
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 4.54812 |=================================================================
b . 4.62093 |==================================================================
ONNX Runtime 1.14
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 219.83 |===================================================================
b . 216.36 |==================================================================
ONNX Runtime 1.14
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 16.18 |=================================================================
b . 17.00 |====================================================================
ONNX Runtime 1.14
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 61.79 |====================================================================
b . 58.83 |=================================================================
ONNX Runtime 1.14
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 5.09499 |==================================================================
b . 5.07500 |==================================================================
ONNX Runtime 1.14
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 196.25 |===================================================================
b . 197.02 |===================================================================
OpenCV 4.7
Test: Core
ms < Lower Is Better
a . 88425 |====================================================================
b . 83121 |================================================================
AOM AV1 3.6
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 8.82 |=====================================================================
b . 8.79 |====================================================================
c . 8.86 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 23.33 |====================================================================
b . 22.99 |===================================================================
c . 23.23 |====================================================================
Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02
Backend: OpenMP - Kernel: Points2Image
Test Cases Per Minute > Higher Is Better
a . 9474.39 |===============================================================
b . 9912.90 |==================================================================
c . 8791.23 |===========================================================
Zstd Compression 1.5.4
Compression Level: 19, Long Mode - Decompression Speed
MB/s > Higher Is Better
a . 917.2 |===================================================================
b . 928.7 |====================================================================
c . 920.9 |===================================================================
Zstd Compression 1.5.4
Compression Level: 19, Long Mode - Compression Speed
MB/s > Higher Is Better
a . 7.88 |=====================================================================
b . 7.25 |===============================================================
c . 6.95 |=============================================================
VVenC 1.7
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 7.998 |===================================================================
b . 8.014 |===================================================================
c . 8.119 |====================================================================
Blender 3.5
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 76.92 |====================================================================
b . 77.29 |====================================================================
c . 77.15 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 2.375 |====================================================================
b . 2.336 |===================================================================
c . 2.327 |===================================================================
oneDNN 3.1
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2.03996 |==================================================================
b . 1.80895 |===========================================================
oneDNN 3.1
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 2.30887 |==================================================================
b . 2.21121 |===============================================================
TensorFlow 2.12
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
a . 408.72 |===================================================================
b . 407.51 |===================================================================
c . 410.27 |===================================================================
FFmpeg 6.0
Encoder: libx264 - Scenario: Live
FPS > Higher Is Better
a . 133.05 |===================================================================
b . 130.09 |==================================================================
c . 130.88 |==================================================================
FFmpeg 6.0
Encoder: libx264 - Scenario: Live
Seconds < Lower Is Better
a . 37.96 |==================================================================
b . 38.82 |====================================================================
c . 38.58 |====================================================================
dav1d 1.1
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
a . 130.69 |===================================================================
b . 130.12 |===================================================================
c . 130.27 |===================================================================
Memcached 1.6.19
Set To Get Ratio: 1:100
Ops/sec > Higher Is Better
a . 1970590.49 |===============================================================
b . 1946110.38 |==============================================================
c . 1527158.77 |=================================================
dav1d 1.1
Video Input: Chimera 1080p
FPS > Higher Is Better
a . 134.66 |===================================================================
b . 133.01 |==================================================================
c . 134.10 |===================================================================
Memcached 1.6.19
Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
a . 2137824.96 |=============================================================
b . 1736416.84 |=================================================
c . 2222180.60 |===============================================================
Memcached 1.6.19
Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 1774418.86 |====================================================
b . 2133650.03 |===============================================================
c . 1820534.68 |======================================================
Zstd Compression 1.5.4
Compression Level: 8, Long Mode - Decompression Speed
MB/s > Higher Is Better
a . 1161.6 |===================================================================
b . 1163.4 |===================================================================
c . 1129.3 |=================================================================
Zstd Compression 1.5.4
Compression Level: 8, Long Mode - Compression Speed
MB/s > Higher Is Better
a . 295.0 |====================================================================
b . 278.4 |================================================================
c . 285.6 |==================================================================
Zstd Compression 1.5.4
Compression Level: 3, Long Mode - Decompression Speed
MB/s > Higher Is Better
a . 1190.2 |===================================================================
b . 1172.3 |==================================================================
c . 1189.7 |===================================================================
Zstd Compression 1.5.4
Compression Level: 3, Long Mode - Compression Speed
MB/s > Higher Is Better
a . 258.0 |========================================================
b . 313.7 |====================================================================
c . 267.4 |==========================================================
Zstd Compression 1.5.4
Compression Level: 3 - Decompression Speed
MB/s > Higher Is Better
a . 1128.4 |===================================================================
b . 1132.3 |===================================================================
c . 1126.3 |===================================================================
Zstd Compression 1.5.4
Compression Level: 3 - Compression Speed
MB/s > Higher Is Better
a . 2013.1 |=============================================================
b . 2185.0 |==================================================================
c . 2209.8 |===================================================================
Zstd Compression 1.5.4
Compression Level: 8 - Decompression Speed
MB/s > Higher Is Better
a . 1128.8 |==================================================================
b . 1140.4 |===================================================================
c . 831.7 |=================================================
Zstd Compression 1.5.4
Compression Level: 8 - Compression Speed
MB/s > Higher Is Better
a . 624.0 |==================================================================
b . 603.0 |================================================================
c . 638.2 |====================================================================
Blender 3.5
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 63.07 |====================================================================
b . 62.71 |====================================================================
c . 63.14 |====================================================================
Zstd Compression 1.5.4
Compression Level: 12 - Decompression Speed
MB/s > Higher Is Better
a . 1095.6 |===================================================================
b . 1075.5 |==================================================================
c . 1072.1 |==================================================================
Zstd Compression 1.5.4
Compression Level: 12 - Compression Speed
MB/s > Higher Is Better
a . 161.4 |=============================================================
b . 180.6 |====================================================================
c . 169.9 |================================================================
Zstd Compression 1.5.4
Compression Level: 19 - Decompression Speed
MB/s > Higher Is Better
a . 907.7 |===================================================================
b . 924.0 |====================================================================
c . 907.0 |===================================================================
Zstd Compression 1.5.4
Compression Level: 19 - Compression Speed
MB/s > Higher Is Better
a . 14.6 |=====================================================================
b . 14.3 |====================================================================
c . 14.4 |====================================================================
RocksDB 8.0
Test: Random Fill Sync
Op/s > Higher Is Better
a . 73440 |===================================================================
b . 74771 |====================================================================
c . 74573 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 0.33 |===================================================================
b . 0.34 |=====================================================================
c . 0.34 |=====================================================================
RocksDB 8.0
Test: Random Fill
Op/s > Higher Is Better
a . 104159 |===================================================================
b . 104356 |===================================================================
c . 104086 |===================================================================
oneDNN 3.1
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 30.271432 |================================================================
b . 0.668506 |=
John The Ripper 2023.03.14
Test: MD5
Real C/S > Higher Is Better
a . 10384000 |=================================================================
b . 10295000 |================================================================
c . 2766000 |=================
RocksDB 8.0
Test: Update Random
Op/s > Higher Is Better
a . 97772 |====================================================================
b . 97861 |====================================================================
c . 97722 |====================================================================
RocksDB 8.0
Test: Read Random Write Random
Op/s > Higher Is Better
a . 920426 |================================================================
b . 959340 |===================================================================
c . 954852 |===================================================================
John The Ripper 2023.03.14
Test: HMAC-SHA512
Real C/S > Higher Is Better
a . 151993000 |================================================================
b . 152981000 |================================================================
c . 19292000 |========
RocksDB 8.0
Test: Read While Writing
Op/s > Higher Is Better
a . 8059987 |=================================================================
b . 7531197 |=============================================================
c . 8192793 |==================================================================
RocksDB 8.0
Test: Random Read
Op/s > Higher Is Better
a . 273039094 |================================================================
b . 268195000 |===============================================================
c . 273197200 |================================================================
OpenSSL 3.1
Algorithm: RSA4096
verify/s > Higher Is Better
a . 1189343.7 |================================================================
b . 1186897.4 |================================================================
c . 1188772.4 |================================================================
OpenSSL 3.1
Algorithm: RSA4096
sign/s > Higher Is Better
a . 36965.0 |==================================================================
b . 36899.1 |==================================================================
c . 36977.5 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 132.43 |===================================================================
b . 132.26 |===================================================================
c . 131.98 |===================================================================
dav1d 1.1
Video Input: Summer Nature 4K
FPS > Higher Is Better
a . 66.17 |====================================================================
b . 65.21 |===================================================================
c . 65.70 |====================================================================
VP9 libvpx Encoding 1.13
Speed: Speed 5 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 11.42 |===================================================================
b . 11.53 |====================================================================
c . 11.31 |===================================================================
AOM AV1 3.6
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 15.97 |====================================================================
b . 15.58 |==================================================================
c . 16.07 |====================================================================
VVenC 1.7
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 13.35 |====================================================================
b . 13.10 |===================================================================
c . 12.98 |==================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 3.90427 |=================================================================
b . 3.93436 |==================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.373237 |================================================================
b . 0.379540 |=================================================================
AOM AV1 3.6
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 15.39 |===================================================================
b . 15.36 |===================================================================
c . 15.51 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 16.15 |===================================================================
b . 15.53 |=================================================================
c . 16.33 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 100.57 |==================================================================
b . 101.79 |===================================================================
c . 101.18 |===================================================================
AOM AV1 3.6
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 15.82 |=================================================================
b . 16.43 |====================================================================
c . 16.33 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 16.04 |==================================================================
b . 16.56 |====================================================================
c . 16.63 |====================================================================
dav1d 1.1
Video Input: Summer Nature 1080p
FPS > Higher Is Better
a . 96.80 |====================================================================
b . 96.07 |===================================================================
c . 95.86 |===================================================================
SPECFEM3D 4.0
Model: Water-layered Halfspace
Seconds < Lower Is Better
a . 31.47 |====================================================================
b . 30.37 |==================================================================
c . 30.96 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 236.08 |===================================================================
b . 228.16 |=================================================================
c . 227.64 |=================================================================
SPECFEM3D 4.0
Model: Layered Halfspace
Seconds < Lower Is Better
a . 29.64 |====================================================================
b . 29.52 |====================================================================
c . 29.65 |====================================================================
Stress-NG 0.15.06
Test: Atomic
Bogo Ops/s > Higher Is Better
a . 139.80 |===========================
b . 163.26 |===============================
c . 349.89 |===================================================================
Blender 3.5
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 32.22 |====================================================================
b . 32.29 |====================================================================
c . 32.07 |====================================================================
Stress-NG 0.15.06
Test: Futex
Bogo Ops/s > Higher Is Better
a . 957096.20 |=========================================================
b . 1018129.24 |=============================================================
c . 1056011.64 |===============================================================
Stress-NG 0.15.06
Test: Pthread
Bogo Ops/s > Higher Is Better
a . 87858.71 |===============================================================
b . 87532.40 |===============================================================
c . 90272.05 |=================================================================
Stress-NG 0.15.06
Test: Zlib
Bogo Ops/s > Higher Is Better
a . 6374.22 |=================================================================
b . 5549.21 |========================================================
c . 6511.98 |==================================================================
Stress-NG 0.15.06
Test: Socket Activity
Bogo Ops/s > Higher Is Better
a . 94302.89 |=================================================================
b . 79477.34 |=======================================================
c . 50201.57 |===================================
Stress-NG 0.15.06
Test: Memory Copying
Bogo Ops/s > Higher Is Better
a . 10941.37 |=================================================================
b . 10922.24 |=================================================================
c . 10908.20 |=================================================================
John The Ripper 2023.03.14
Test: WPA PSK
Real C/S > Higher Is Better
a . 483328 |===================================================================
b . 482323 |===================================================================
c . 255829 |===================================
Stress-NG 0.15.06
Test: IO_uring
Bogo Ops/s > Higher Is Better
a . 26355.62 |=================================================================
b . 26364.63 |=================================================================
c . 26405.01 |=================================================================
John The Ripper 2023.03.14
Test: bcrypt
Real C/S > Higher Is Better
a . 114777 |===================================================================
b . 114825 |===================================================================
c . 64015 |=====================================
John The Ripper 2023.03.14
Test: Blowfish
Real C/S > Higher Is Better
a . 114499 |===================================================================
b . 107388 |===============================================================
c . 51517 |==============================
Stress-NG 0.15.06
Test: CPU Cache
Bogo Ops/s > Higher Is Better
a . 1441584.05 |======================================================
b . 1691720.80 |===============================================================
c . 1657780.82 |==============================================================
Stress-NG 0.15.06
Test: Malloc
Bogo Ops/s > Higher Is Better
a . 190168476.52 |=============================================================
b . 191206280.20 |=============================================================
c . 190376822.58 |=============================================================
Stress-NG 0.15.06
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
a . 10295375.81 |=========
b . 10283641.13 |=========
c . 73426960.15 |==============================================================
Stress-NG 0.15.06
Test: MEMFD
Bogo Ops/s > Higher Is Better
a . 766.90 |===================================================================
b . 583.83 |===================================================
c . 583.20 |===================================================
Stress-NG 0.15.06
Test: NUMA
Bogo Ops/s > Higher Is Better
a . 437.26 |===================================================================
b . 432.40 |==================================================================
c . 433.52 |==================================================================
Stress-NG 0.15.06
Test: Poll
Bogo Ops/s > Higher Is Better
a . 9551392.98 |===============================================================
b . 9566416.75 |===============================================================
c . 9500903.35 |===============================================================
Stress-NG 0.15.06
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
a . 60467587.40 |==============================================================
b . 59352709.91 |=============================================================
c . 58278938.78 |============================================================
Stress-NG 0.15.06
Test: Semaphores
Bogo Ops/s > Higher Is Better
a . 11840389.35 |============================================================
b . 12234144.91 |==============================================================
c . 12232435.50 |==============================================================
Stress-NG 0.15.06
Test: Vector Math
Bogo Ops/s > Higher Is Better
a . 306730.85 |================================================================
b . 306299.59 |================================================================
c . 306225.09 |================================================================
Stress-NG 0.15.06
Test: Matrix Math
Bogo Ops/s > Higher Is Better
a . 335705.12 |===============================================================
b . 341137.35 |================================================================
c . 341249.75 |================================================================
Stress-NG 0.15.06
Test: CPU Stress
Bogo Ops/s > Higher Is Better
a . 152655.29 |==============================================================
b . 152455.93 |==============================================================
c . 157803.19 |================================================================
Stress-NG 0.15.06
Test: Hash
Bogo Ops/s > Higher Is Better
a . 12949136.28 |=============================================================
b . 13204487.51 |==============================================================
c . 13066446.38 |=============================================================
Stress-NG 0.15.06
Test: SENDFILE
Bogo Ops/s > Higher Is Better
a . 1143575.46 |==============================================================
b . 1162795.27 |===============================================================
c . 1165355.20 |===============================================================
Stress-NG 0.15.06
Test: Function Call
Bogo Ops/s > Higher Is Better
a . 429335.83 |================================================================
b . 413303.53 |=============================================================
c . 431183.83 |================================================================
Stress-NG 0.15.06
Test: Mutex
Bogo Ops/s > Higher Is Better
a . 36280764.76 |==============================================================
b . 36505304.60 |==============================================================
c . 36276764.04 |==============================================================
Stress-NG 0.15.06
Test: Forking
Bogo Ops/s > Higher Is Better
a . 65824.56 |================================================================
b . 66467.95 |=================================================================
c . 65696.65 |================================================================
Stress-NG 0.15.06
Test: Crypto
Bogo Ops/s > Higher Is Better
a . 105894.93 |==============================================================
b . 108459.26 |================================================================
c . 107612.44 |================================================================
Stress-NG 0.15.06
Test: MMAP
Bogo Ops/s > Higher Is Better
a . 3124.36 |==================================================================
b . 3115.23 |==================================================================
c . 3092.95 |=================================================================
Stress-NG 0.15.06
Test: x86_64 RdRand
Bogo Ops/s > Higher Is Better
a . 658591.72 |================================================================
b . 658461.44 |================================================================
c . 658542.68 |================================================================
Stress-NG 0.15.06
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
a . 1550.53 |==================================================================
b . 1546.69 |==================================================================
c . 1547.20 |==================================================================
Stress-NG 0.15.06
Test: Context Switching
Bogo Ops/s > Higher Is Better
a . 3511158.35 |===============================================================
b . 3508321.29 |===============================================================
c . 3511599.94 |===============================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 73.81 |====================================================================
b . 72.81 |===================================================================
c . 72.70 |===================================================================
GROMACS 2023
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
a . 9.268 |====================================================================
b . 9.199 |===================================================================
c . 9.259 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 0.73 |=====================================================================
b . 0.73 |=====================================================================
c . 0.73 |=====================================================================
Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02
Backend: OpenMP - Kernel: Euclidean Cluster
Test Cases Per Minute > Higher Is Better
a . 842.32 |==================================================================
b . 796.63 |===============================================================
c . 848.69 |===================================================================
Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02
Backend: OpenMP - Kernel: NDT Mapping
Test Cases Per Minute > Higher Is Better
a . 817.52 |=============================================================
b . 771.26 |==========================================================
c . 892.13 |===================================================================
Blender 3.5
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 24.20 |===================================================================
b . 24.36 |====================================================================
c . 24.42 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 37.74 |===================================================================
b . 38.18 |====================================================================
c . 37.33 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 178.52 |===================================================================
b . 174.81 |==================================================================
c . 175.31 |==================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 3.67056 |==========================================================
b . 4.16467 |==================================================================
AOM AV1 3.6
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 28.78 |====================================================================
b . 27.93 |==================================================================
c . 28.61 |====================================================================
SPECFEM3D 4.0
Model: Homogeneous Halfspace
Seconds < Lower Is Better
a . 18.03 |===================================================================
b . 18.18 |====================================================================
c . 18.29 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 29.39 |===================================================================
b . 29.81 |====================================================================
c . 29.56 |===================================================================
AOM AV1 3.6
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 30.04 |==================================================================
b . 30.21 |==================================================================
c . 30.98 |====================================================================
Embree 4.0.1
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 76.17 |====================================================================
b . 76.66 |====================================================================
c . 76.41 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 31.70 |====================================================================
b . 31.10 |===================================================================
c . 30.01 |================================================================
Embree 4.0.1
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 89.18 |====================================================================
b . 89.29 |====================================================================
c . 88.89 |====================================================================
SPECFEM3D 4.0
Model: Tomographic Model
Seconds < Lower Is Better
a . 15.30 |====================================================================
b . 14.71 |=================================================================
c . 14.96 |==================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.201235 |============================================================
b . 0.218330 |=================================================================
Timed FFmpeg Compilation 6.0
Time To Compile
Seconds < Lower Is Better
a . 17.81 |====================================================================
b . 17.87 |====================================================================
c . 17.84 |====================================================================
SPECFEM3D 4.0
Model: Mount St. Helens
Seconds < Lower Is Better
a . 13.74 |====================================================================
b . 13.46 |===================================================================
c . 13.57 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 138.07 |===============================================================
b . 145.79 |===================================================================
c . 145.45 |===================================================================
oneDNN 3.1
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1.41955 |==================================================================
b . 1.40563 |=================================================================
oneDNN 3.1
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.17192 |==================================================================
b . 1.16101 |=================================================================
oneDNN 3.1
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 2.10120 |================================================================
b . 2.16346 |==================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 0.875338 |=============================================================
b . 0.925478 |=================================================================
Embree 4.0.1
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 71.27 |===================================================================
b . 71.83 |====================================================================
c . 71.89 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 116.89 |=================================================================
b . 119.69 |===================================================================
c . 120.06 |===================================================================
SVT-AV1 1.4
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 97.16 |====================================================================
b . 97.19 |====================================================================
c . 97.57 |====================================================================
Embree 4.0.1
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 84.35 |====================================================================
b . 84.28 |====================================================================
c . 84.59 |====================================================================
Google Draco 1.5.6
Model: Church Facade
ms < Lower Is Better
a . 6765 |=====================================================================
b . 6702 |====================================================================
c . 6767 |=====================================================================
Embree 4.0.1
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 88.00 |====================================================================
b . 88.57 |====================================================================
c . 87.85 |===================================================================
Google Draco 1.5.6
Model: Lion
ms < Lower Is Better
a . 5502 |=====================================================================
b . 5479 |====================================================================
c . 5521 |=====================================================================
Embree 4.0.1
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 103.14 |==================================================================
b . 104.48 |===================================================================
c . 104.28 |===================================================================
nginx 1.23.2
Connections: 1000
Requests Per Second > Higher Is Better
Apache HTTP Server 2.4.56
Concurrent Requests: 1000
Requests Per Second > Higher Is Better
Apache HTTP Server 2.4.56
Concurrent Requests: 100
Requests Per Second > Higher Is Better
nginx 1.23.2
Connections: 100
Requests Per Second > Higher Is Better