TR 3990X Linux 6.0 Dummy Wait WA
Tests for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2209270-PTS-TR399XLI31.
GravityMark
Resolution: 1920 x 1080 - Renderer: Vulkan
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: RaiNyMore2
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: Multeasymap
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: Multeasymap - Total Frame Time
Tesseract
Resolution: 1920 x 1080
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: High
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: Ultra
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: Medium
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Low
Xonotic
Resolution: 1920 x 1080 - Effects Quality: High
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Ultra
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Ultimate
yquake2
Renderer: Vulkan - AF: On - MSAA: On - Resolution: 1920 x 1080
yquake2
Renderer: OpenGL 3.x - AF: On - MSAA: On - Resolution: 1920 x 1080
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
WebP Image Encode
Encode Settings: Default
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Quality 100, Lossless
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
WebP2 Image Encode
Encode Settings: Default
WebP2 Image Encode
Encode Settings: Quality 75, Compression Effort 7
WebP2 Image Encode
Encode Settings: Quality 95, Compression Effort 7
WebP2 Image Encode
Encode Settings: Quality 100, Compression Effort 5
WebP2 Image Encode
Encode Settings: Quality 100, Lossless Compression
srsRAN
Test: OFDM_Test
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 10 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 10 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 7 - Input: Bosphorus 4K
SVT-HEVC
Tuning: 10 - Input: Bosphorus 4K
SVT-HEVC
Tuning: 7 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 10 - Input: Bosphorus 1080p
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 4K
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
x265
Video Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
7-Zip Compression
Test: Compression Rating
7-Zip Compression
Test: Decompression Rating
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 2
libavif avifenc
Encoder Speed: 6
libavif avifenc
Encoder Speed: 6, Lossless
libavif avifenc
Encoder Speed: 10, Lossless
Timed Apache Compilation
Time To Compile
Timed FFmpeg Compilation
Time To Compile
Timed Godot Game Engine Compilation
Time To Compile
Timed Linux Kernel Compilation
Build: defconfig
Timed Linux Kernel Compilation
Build: allmodconfig
Timed LLVM Compilation
Build System: Ninja
Timed LLVM Compilation
Build System: Unix Makefiles
Timed Mesa Compilation
Time To Compile
Timed MPlayer Compilation
Time To Compile
Timed Node.js Compilation
Time To Compile
Timed PHP Compilation
Time To Compile
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
Timed Wasmer Compilation
Time To Compile
Node.js V8 Web Tooling Benchmark
ClickHouse
100M Rows Web Analytics Dataset, First Run / Cold Cache
ClickHouse
100M Rows Web Analytics Dataset, Second Run
ClickHouse
100M Rows Web Analytics Dataset, Third Run
etcd
Test: PUT - Connections: 50 - Clients: 100
etcd
Test: PUT - Connections: 50 - Clients: 100 - Average Latency
etcd
Test: PUT - Connections: 100 - Clients: 100
etcd
Test: PUT - Connections: 100 - Clients: 100 - Average Latency
etcd
Test: PUT - Connections: 50 - Clients: 1000
etcd
Test: PUT - Connections: 50 - Clients: 1000 - Average Latency
etcd
Test: PUT - Connections: 500 - Clients: 100
etcd
Test: PUT - Connections: 500 - Clients: 100 - Average Latency
etcd
Test: PUT - Connections: 100 - Clients: 1000
etcd
Test: PUT - Connections: 100 - Clients: 1000 - Average Latency
etcd
Test: PUT - Connections: 500 - Clients: 1000
etcd
Test: PUT - Connections: 500 - Clients: 1000 - Average Latency
etcd
Test: RANGE - Connections: 50 - Clients: 100
etcd
Test: RANGE - Connections: 50 - Clients: 100 - Average Latency
etcd
Test: RANGE - Connections: 100 - Clients: 100
etcd
Test: RANGE - Connections: 100 - Clients: 100 - Average Latency
etcd
Test: RANGE - Connections: 50 - Clients: 1000
etcd
Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency
etcd
Test: RANGE - Connections: 500 - Clients: 100
etcd
Test: RANGE - Connections: 500 - Clients: 100 - Average Latency
etcd
Test: RANGE - Connections: 100 - Clients: 1000
etcd
Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency
etcd
Test: RANGE - Connections: 500 - Clients: 1000
etcd
Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency
Apache Spark
Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 10000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 40000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Repartition Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Repartition Test Time
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Dragonflydb
Clients: 50 - Set To Get Ratio: 1:1
Dragonflydb
Clients: 50 - Set To Get Ratio: 1:5
Dragonflydb
Clients: 50 - Set To Get Ratio: 5:1
Redis
Test: GET - Parallel Connections: 50
Redis
Test: SET - Parallel Connections: 50
Redis
Test: GET - Parallel Connections: 500
Redis
Test: SET - Parallel Connections: 500
Redis
Test: GET - Parallel Connections: 1000
Redis
Test: SET - Parallel Connections: 1000
ASTC Encoder
Preset: Fast
ASTC Encoder
Preset: Medium
ASTC Encoder
Preset: Thorough
ASTC Encoder
Preset: Exhaustive
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
Blender
Blend File: Barbershop - Compute: CPU-Only
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
nginx
Concurrent Requests: 1
nginx
Concurrent Requests: 20
nginx
Concurrent Requests: 100
nginx
Concurrent Requests: 200
nginx
Concurrent Requests: 500
nginx
Concurrent Requests: 1000
Apache HTTP Server
Concurrent Requests: 1
Apache HTTP Server
Concurrent Requests: 20
Apache HTTP Server
Concurrent Requests: 100
Apache HTTP Server
Concurrent Requests: 200
Apache HTTP Server
Concurrent Requests: 500
Apache HTTP Server
Concurrent Requests: 1000
BRL-CAD
VGR Performance Metric
Phoronix Test Suite v10.8.4