Xeon Max Linux 6.9 Kernel Benchmarks

2 x Intel Xeon Max 9480 benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2404031-NE-XEONMAXLI10
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Timed Code Compilation 3 Tests
C/C++ Compiler Tests 4 Tests
Compression Tests 2 Tests
CPU Massive 14 Tests
Creator Workloads 17 Tests
Database Test Suite 2 Tests
Encoding 4 Tests
Game Development 3 Tests
HPC - High Performance Computing 7 Tests
Imaging 3 Tests
Common Kernel Benchmarks 3 Tests
Large Language Models 2 Tests
Machine Learning 6 Tests
Multi-Core 19 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 6 Tests
Programmer / Developer System Benchmarks 3 Tests
Python Tests 5 Tests
Raytracing 2 Tests
Renderers 4 Tests
Server 3 Tests
Server CPU Tests 8 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Linux 6.8
March 29
  1 Day, 19 Hours, 46 Minutes
Linux 6.9-rc2
April 01
  1 Day, 17 Hours, 48 Minutes
Invert Hiding All Results Option
  1 Day, 18 Hours, 47 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

Xeon Max Linux 6.9 Kernel Benchmarks 2 x Intel Xeon Max 9480 benchmarks for a future article. ,,"Linux 6.8","Linux 6.9-rc2" Processor,,2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads),2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads) Motherboard,,Supermicro SYS-221H-TNR X13DEM v1.10 (1.3 BIOS),Supermicro SYS-221H-TNR X13DEM v1.10 (1.3 BIOS) Chipset,,Intel Device 1bce,Intel Device 1bce Memory,,512GB,512GB Disk,,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ Graphics,,ASPEED,ASPEED Network,,2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb,2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb OS,,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.8.0-060800-generic (x86_64),6.9.0-060900rc2-generic (x86_64) Desktop,,GNOME Shell 45.0,GNOME Shell 45.0 Display Server,,X Server 1.21.1.7,X Server 1.21.1.7 Compiler,,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4 Screen Resolution,,1024x768,1024x768 ,,"Linux 6.8","Linux 6.9-rc2" "Hackbench - Count: 32 - Type: Process (sec)",LIB,24.748,27.994 "Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,39599.26,35919.64 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,67789.25,73754.74 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,42.74,40.20 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,17.23,18.28 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,32.4503,34.3512 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,185.294,196.076 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,1798203.12,1900682.08 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,541.827,571.190 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,495.72,471.88 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,135.18,128.71 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,2530.04,2656.42 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,14.58,13.89 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,17859304.38,18740350.56 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.64,0.61 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,20343491.52,19390362.90 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,445.90,467.79 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,82.87,79.00 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,16.7832,17.5623 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,2.32,2.22 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,6169.36,6427.33 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,4.05,3.89 "JPEG-XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,32.562,33.888 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,205.414,213.737 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,26732.88,27790.24 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,47927.75,46123.32 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,101.901,105.7827 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,84678420667,81678284176 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,24.2805,25.1712 "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,3468957.59,3346567.80 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,451.13,466.45 "Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec)",HIB,1.48,1.53 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,81.90,79.23 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,38.09,39.37 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,36.28,35.14 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,1018.47,1051.30 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,17204,16687 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,154589461.19,150005776.47 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,10.50412,10.8236 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.34,0.33 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,29.7336,28.8754 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,24.12,24.80 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,1358616.4,1396904.0 "JPEG-XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,30.969,30.128 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,143967.24,147978.33 "Llama.cpp - Model: llama-2-70b-chat.Q5_0.gguf (Tokens/sec)",HIB,0.36,0.37 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,12.085,11.764 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,33.986,33.094 "Hackbench - Count: 16 - Type: Thread (sec)",LIB,14.679,14.298 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2108,2164 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec)",HIB,0.79,0.77 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,466,478 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,2120844,2068588 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,501,489 "Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,9670.37,9446.07 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,21085.10,20605.39 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,2.28,2.23 "oneDNN - Harness: Convolution Batch Shapes Auto - Engine: CPU (ms)",LIB,9.00621,8.81043 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,3906839,3991802 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,40657,39794 "Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,45.60,46.56 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,8732,8552 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,38.462,37.698 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,32361.2,33015.5 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,29.61,30.20 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,47.03,47.96 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,3777.56,3704.38 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,1.06,1.04 "Hackbench - Count: 16 - Type: Process (sec)",LIB,13.112,13.357 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,10.70212,10.5090 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,5.865,5.760 "Llamafile - Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU (Tokens/sec)",HIB,4.50,4.58 "JPEG-XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,32.477,33.045 "Primesieve - Length: 1e12 (sec)",LIB,3.356,3.299 "oneDNN - Harness: Deconvolution Batch shapes_1d - Engine: CPU (ms)",LIB,18.3377,18.0275 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,10.7817,10.6006 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,119.92,121.93 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,72172,73367 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,121702.12,119735.57 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,307.74,302.77 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,7.91321,8.04142 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,723.16,711.74 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,34412,34953 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,28490133.28,28934422.16 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6909,6804 "Stress-NG - Test: Poll (Bogo Ops/s)",HIB,10389186.02,10232390.41 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,15.913,16.152 "Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,6814667,6916667 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,18.662,18.934 "Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,59852,58995 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,307.502,311.745 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,6.85,6.76 "LZ4 Compression - Compression Level: 9 - Decompression Speed (MB/s)",HIB,3537.0,3492.0 "Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,576905.92,569593.00 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,96.31,97.53 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,44.80,44.24 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,35.30,34.86 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,213.35,210.71 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,16147.57,16349.05 "Google Draco - Model: Lion (ms)",LIB,6129,6054 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,23.68,23.97 "Speedb - Test: Random Read (Op/s)",HIB,380419389,375837479 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,346.10,341.97 "JPEG-XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,386.232,381.657 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,8.35,8.45 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1861,1839 "Speedb - Test: Random Fill (Op/s)",HIB,326499,322816 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,23.4276,23.1727 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,482.62,487.60 "RocksDB - Test: Overwrite (Op/s)",HIB,388010,391968 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,94.2487,95.1441 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,29940735740,29665499053 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,21.82,22.02 "oneDNN - Harness: IP Shapes 3D - Engine: CPU (ms)",LIB,4.79853,4.84245 "CacheBench - Test: Write (MB/s)",HIB,93036.302415,93862.763311 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,76.20,75.56 "Speedb - Test: Random Fill Sync (Op/s)",HIB,257446,259603 "Speedb - Test: Sequential Fill (Op/s)",HIB,327637,330167 "LZ4 Compression - Compression Level: 1 - Decompression Speed (MB/s)",HIB,3601.0,3628.0 "Stress-NG - Test: Hash (Bogo Ops/s)",HIB,17071694.52,17199190.09 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,29.2815,29.0693 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,202073.08,200671.70 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,4.902,4.936 "oneDNN - Harness: Recurrent Neural Network Inference - Engine: CPU (ms)",LIB,748.495,753.364 "Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,32860.8,33072.5 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,11638.51,11564.78 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,9.59,9.65 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,202.37,203.63 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,70.10,70.53 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,152.635,153.564 "Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,5874353.63,5908316.03 "Stress-NG - Test: Mixed Scheduler (Bogo Ops/s)",HIB,70407.96,70036.20 "Speedb - Test: Read Random Write Random (Op/s)",HIB,1181758,1175562 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,30.85,31.01 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,3626.41,3608.21 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,6336.78,6306.42 "RocksDB - Test: Update Random (Op/s)",HIB,359825,361502 "LZ4 Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,3364.8,3349.6 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,4621.32,4600.95 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,13867,13807 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,1866.58,1858.70 "Speedb - Test: Update Random (Op/s)",HIB,292180,293414 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,7.17,7.14 "CacheBench - Test: Read / Modify / Write (MB/s)",HIB,99112.699260,98711.076947 "Primesieve - Length: 1e13 (sec)",LIB,39.619,39.461 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,15532.54,15589.59 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,17.52,17.58 "FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,181.51,182.12 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,61363,61162 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,22.31,22.24 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,11260.98,11295.92 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,9.92,9.89 "RocksDB - Test: Random Read (Op/s)",HIB,360498518,361586083 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,77.34,77.57 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,35317,35422 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,53.98,53.82 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,292.173,293.029 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,1446.42,1442.21 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,5067.40,5052.71 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,54.98,54.83 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,22.06,22.12 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,671.66,673.46 "oneDNN - Harness: IP Shapes 1D - Engine: CPU (ms)",LIB,4.50055,4.51166 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,36096.6,36180.7 "JPEG-XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,25.666,25.607 "Google Draco - Model: Church Facade (ms)",LIB,7747,7762 "Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,6677333,6689667 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,569,570 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,337.21,337.78 "JPEG-XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,26.002,25.960 "LZ4 Compression - Compression Level: 9 - Compression Speed (MB/s)",HIB,32.61,32.66 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,331.23,330.73 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,38204.6,38147.4 "Stress-NG - Test: AVL Tree (Bogo Ops/s)",HIB,810.19,808.99 "WavPack Audio Encoding - WAV To WavPack (sec)",LIB,6.349,6.340 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,42.94,42.88 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,9592.3,9602.7 "Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,32856.3,32826.1 "FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,11.50,11.51 "Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,33002.2,32993.8 "LZ4 Compression - Compression Level: 1 - Compression Speed (MB/s)",HIB,602.69,602.54 "CacheBench - Test: Read (MB/s)",HIB,13344.699620,13341.467325 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,63514,63529 "FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,42.76,42.77 "LZ4 Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,98.43,98.41 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.38,0.38 "MariaDB mariadb-slap - Clients: 512 (Queries/sec)",HIB,86,86 "WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.07,0.07 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec)",HIB,1.84,1.56 "Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec)",HIB,1.99,2.49 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,30.8209,29.1107 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,42.6833,43.1511 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,4.88181,4.67811 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,6.55011,6.51127 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,9.01538,8.23121 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,111.5706,122.601 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,10.6098,10.5119 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,42.7819,41.5048 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,23.4613,24.2328 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,59.6021,56.9478 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,231.284,184.785 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,4.43649,5.41259 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,747.084,668.699 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,1.35994,1.50300 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1.84807,1.74973 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,3.42357,3.40972 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,70.9566,65.9960 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,14.2656,15.4110 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,92.7467,94.3330 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,2.89501,2.48234 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences/sec)",HIB,353.573,402.669 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,5.41191,5.10755 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,122.236,112.428 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,8.22351,8.90936 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,126.384,124.376 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,6.03604,6.57623 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,167.343,154.205 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,9.80514,9.46496 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.78,0.71 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,271.99,279.74 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,80643523.24,85035507.55 "Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,234669.74,230503.34 "Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,204365411.59,200468629.32 "Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,31442.69,31460.42 "Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,29600.02,29139.60 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,384748.54,392750.09 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,163551396.40,161652700.09 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,688.26,688.76 "Stress-NG - Test: Pipe (Bogo Ops/s)",HIB,30377557.97,29814480.67 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,58.50,58.83 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,1.88,1.90 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,6.05,5.98 "MariaDB mariadb-slap - Clients: 1024 (Queries/sec)",HIB,34,36 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,14836,15415 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7402,7506 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1801,1774 "oneDNN - Harness: Recurrent Neural Network Training - Engine: CPU (ms)",LIB,4821.32,10195.75 "oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,6.16576,5.78202 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,6.483,6.202 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,13.416,13.335 "Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,2.933717,2.926551 "Timed Mesa Compilation - Time To Compile (sec)",LIB,19.511,19.888 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,17.245,17.283 "Stockfish - Chess Benchmark (Nodes/s)",HIB,61999717,64443099 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,102.9501,98.8690 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,9.847,9.524 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,123.246,123.098 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,127.202,126.187 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,48.943,48.568 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,36.4359,37.4335 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,31.5957,32.8297 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,39.8177,36.5030 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,35.4033,35.6507 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,38.8350,35.7348 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,36.6011,35.0788 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,662.4,650.8 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps)",HIB,17006.8,16877.6 "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,5.90,5.65 "JPEG-XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,34.604,34.187 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,112.43,113.99 "Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,8425444,8129143