5800X3D

AMD Ryzen 7 5800X3D 8-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.O7 BIOS) and Sapphire AMD Radeon HD 4650 on Debian 12 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 2408227-NE-5800X3D9221
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
August 21
  3 Hours, 59 Minutes
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5800X3D Suite 1.0.0 System Test suite extracted from 5800X3D. system/compress-7zip-1.0.0 pts/blender-4.2.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/blender-4.2.0 -b ../junkshop.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Junkshop - Compute: CPU-Only pts/blender-4.2.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/blender-4.2.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Fishy Cat - Compute: CPU-Only pts/blender-4.2.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/blender-4.2.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Pabellon Barcelona - Compute: CPU-Only pts/build2-1.3.0 Time To Compile system/gromacs-1.0.0 water-cut1.0_GMX50_bare/1536 Input: water_GMX50_bare pts/oidn-2.3.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.3.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.3.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/lczero-1.8.0 -b blas Backend: BLAS pts/lczero-1.8.0 -b eigen Backend: Eigen pts/compress-lz4-1.10.0 -b1 -e1 Compression Level: 1 - Compression Speed pts/compress-lz4-1.10.0 -b1 -e1 Compression Level: 1 - Decompression Speed pts/compress-lz4-1.10.0 -b2 -e2 Compression Level: 2 - Compression Speed pts/compress-lz4-1.10.0 -b2 -e2 Compression Level: 2 - Decompression Speed pts/compress-lz4-1.10.0 -b3 -e3 Compression Level: 3 - Compression Speed pts/compress-lz4-1.10.0 -b3 -e3 Compression Level: 3 - Decompression Speed pts/compress-lz4-1.10.0 -b9 -e9 Compression Level: 9 - Compression Speed pts/compress-lz4-1.10.0 -b9 -e9 Compression Level: 9 - Decompression Speed pts/compress-lz4-1.10.0 -b12 -e12 Compression Level: 12 - Compression Speed pts/compress-lz4-1.10.0 -b12 -e12 Compression Level: 12 - Decompression Speed pts/mnn-2.9.0 Model: nasnet pts/mnn-2.9.0 Model: mobilenetV3 pts/mnn-2.9.0 Model: squeezenetv1.1 pts/mnn-2.9.0 Model: resnet-v2-50 pts/mnn-2.9.0 Model: SqueezeNetV1.0 pts/mnn-2.9.0 Model: MobileNetV2_224 pts/mnn-2.9.0 Model: mobilenet-v1-1.0 pts/mnn-2.9.0 Model: inception-v3 pts/namd-1.3.2 ../f1atpase/f1atpase.namd Input: ATPase with 327,506 Atoms pts/namd-1.3.2 ../stmv/stmv.namd Input: STMV with 1,066,628 Atoms system/povray-1.0.0 Trace Time pts/pyperformance-1.1.0 go Benchmark: go pts/pyperformance-1.1.0 chaos Benchmark: chaos pts/pyperformance-1.1.0 float Benchmark: float pts/pyperformance-1.1.0 nbody Benchmark: nbody pts/pyperformance-1.1.0 pathlib Benchmark: pathlib pts/pyperformance-1.1.0 raytrace Benchmark: raytrace pts/pyperformance-1.1.0 xml_etree Benchmark: xml_etree pts/pyperformance-1.1.0 gc_collect Benchmark: gc_collect pts/pyperformance-1.1.0 json_loads Benchmark: json_loads pts/pyperformance-1.1.0 crypto_pyaes Benchmark: crypto_pyaes pts/pyperformance-1.1.0 async_tree_io Benchmark: async_tree_io pts/pyperformance-1.1.0 regex_compile Benchmark: regex_compile pts/pyperformance-1.1.0 python_startup Benchmark: python_startup pts/pyperformance-1.1.0 asyncio_tcp_ssl Benchmark: asyncio_tcp_ssl pts/pyperformance-1.1.0 django_template Benchmark: django_template pts/pyperformance-1.1.0 asyncio_websockets Benchmark: asyncio_websockets pts/pyperformance-1.1.0 pickle_pure_python Benchmark: pickle_pure_python pts/simdjson-2.1.0 kostya Throughput Test: Kostya pts/simdjson-2.1.0 top_tweet Throughput Test: TopTweet pts/simdjson-2.1.0 large_random Throughput Test: LargeRandom pts/simdjson-2.1.0 partial_tweets Throughput Test: PartialTweets pts/simdjson-2.1.0 distinct_user_id Throughput Test: DistinctUserID pts/svt-av1-2.14.0 --preset 3 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 --frames 2400 Encoder Mode: Preset 3 - Input: Bosphorus 4K pts/svt-av1-2.14.0 --preset 5 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 --frames 2400 Encoder Mode: Preset 5 - Input: Bosphorus 4K pts/svt-av1-2.14.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 --frames 2400 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-av1-2.14.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 --frames 2400 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/svt-av1-2.14.0 --preset 3 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 --frames 3600 Encoder Mode: Preset 3 - Input: Bosphorus 1080p pts/svt-av1-2.14.0 --preset 5 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 --frames 3600 Encoder Mode: Preset 5 - Input: Bosphorus 1080p pts/svt-av1-2.14.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 --frames 3600 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/svt-av1-2.14.0 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 --frames 3600 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/svt-av1-2.14.0 --preset 3 -i Beauty_3840x2160_120fps_420_10bit_YUV.yuv -w 3840 -h 2160 Encoder Mode: Preset 3 - Input: Beauty 4K 10-bit pts/svt-av1-2.14.0 --preset 5 -i Beauty_3840x2160_120fps_420_10bit_YUV.yuv -w 3840 -h 2160 Encoder Mode: Preset 5 - Input: Beauty 4K 10-bit pts/svt-av1-2.14.0 --preset 8 -i Beauty_3840x2160_120fps_420_10bit_YUV.yuv -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Beauty 4K 10-bit pts/svt-av1-2.14.0 --preset 13 -i Beauty_3840x2160_120fps_420_10bit_YUV.yuv -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Beauty 4K 10-bit pts/whisperfile-1.0.0 tiny Model Size: Tiny pts/whisperfile-1.0.0 small Model Size: Small pts/xnnpack-1.0.0 Model: FP32MobileNetV2 pts/xnnpack-1.0.0 Model: FP32MobileNetV3Large pts/xnnpack-1.0.0 Model: FP32MobileNetV3Small pts/xnnpack-1.0.0 Model: FP16MobileNetV2 pts/xnnpack-1.0.0 Model: FP16MobileNetV3Large pts/xnnpack-1.0.0 Model: FP16MobileNetV3Small pts/xnnpack-1.0.0 Model: QU8MobileNetV2 pts/xnnpack-1.0.0 Model: QU8MobileNetV3Large pts/xnnpack-1.0.0 Model: QU8MobileNetV3Small pts/y-cruncher-1.5.0 1b Pi Digits To Calculate: 1B pts/y-cruncher-1.5.0 500m Pi Digits To Calculate: 500M pts/z3-1.0.1 1.smt2 SMT File: 1.smt2 pts/z3-1.0.1 2.smt2 SMT File: 2.smt2