AMD Ryzen 7 7840HS testing with a NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS) and AMD Phoenix1 4GB on Tuxedo 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2403266-NE-NEW59105411
new
AMD Ryzen 7 7840HS testing with a NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS) and AMD Phoenix1 4GB on Tuxedo 22.04 via the Phoronix Test Suite.
,,"a","b","c"
Processor,,AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads),AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads),AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads)
Motherboard,,NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS),NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS),NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS)
Chipset,,AMD Device 14e8,AMD Device 14e8,AMD Device 14e8
Memory,,4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT,4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT,4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT
Disk,,2000GB Samsung SSD 980 PRO 2TB + 31GB SanDisk 3.2Gen1,2000GB Samsung SSD 980 PRO 2TB + 31GB SanDisk 3.2Gen1,2000GB Samsung SSD 980 PRO 2TB + 31GB SanDisk 3.2Gen1
Graphics,,AMD Phoenix1 4GB (2700/800MHz),AMD Phoenix1 4GB (2700/800MHz),AMD Phoenix1 4GB (2700/800MHz)
Audio,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio
Network,,MEDIATEK MT7921K,MEDIATEK MT7921K,MEDIATEK MT7921K
OS,,Tuxedo 22.04,Tuxedo 22.04,Tuxedo 22.04
Kernel,,6.5.0-10022-tuxedo (x86_64),6.5.0-10022-tuxedo (x86_64),6.5.0-10022-tuxedo (x86_64)
Desktop,,KDE Plasma 5.27.10,KDE Plasma 5.27.10,KDE Plasma 5.27.10
Display Server,,X Server 1.21.1.4,X Server 1.21.1.4,X Server 1.21.1.4
OpenGL,,4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54),4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54),4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54)
Vulkan,,1.3.274,1.3.274,1.3.274
Compiler,,GCC 11.4.0,GCC 11.4.0,GCC 11.4.0
File-System,,ext4,ext4,ext4
Screen Resolution,,2880x1800,2880x1800,2880x1800
,,"a","b","c"
"JPEG-XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,30.977,32.625,31.846
"JPEG-XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,28.599,30.24,29.202
"JPEG-XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,32.753,31.879,32.495
"JPEG-XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,30.295,30.409,30.771
"JPEG-XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,13.443,13.548,13.555
"JPEG-XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,13.363,13.496,13.463
"JPEG-XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,72.688,78.402,79.511
"JPEG-XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,347.069,368.57,369.331
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,4.421,4.53,4.556
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,36.205,36.146,36.33
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,96.412,91.273,96.682
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,92.045,91.144,97.04
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,15.391,15.944,16.107
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,110.514,112.669,113.282
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,410.015,425.303,426.94
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,487.088,509.4,508.569
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,104.405,103.694,103.08
"Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,1412.031,1410.639,1406.626
"Primesieve - Length: 1e12 (sec)",LIB,15.108,15.145,15.086
"Primesieve - Length: 1e13 (sec)",LIB,186.003,185.999,186.829
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,8.4524,8.4593,8.4341
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,353.6742,353.5494,354.5107
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,8.5716,8.5678,8.5595
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,116.6477,116.6994,116.8124
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,328.7131,326.3318,327.4058
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,9.1031,9.166,9.1356
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,215.4055,214.4438,214.5447
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,4.6315,4.6521,4.6507
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,105.2651,104.9554,104.9568
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,28.4705,28.5546,28.5543
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (items/sec)",HIB,76.8942,76.8282,77.1719
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (ms/batch)",LIB,12.9936,13.0055,12.9476
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,772.9913,783.8762,759.94
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,3.8589,3.8037,3.9258
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,438.7976,438.9059,437.6845
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,2.2639,2.2642,2.2706
"Neural Magic DeepSparse - Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,3.0846,2.9841,3.0247
"Neural Magic DeepSparse - Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,961.3673,995.8435,980.4268
"Neural Magic DeepSparse - Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream (items/sec)",HIB,5.4459,5.442,5.442
"Neural Magic DeepSparse - Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream (ms/batch)",LIB,183.5997,183.734,183.7313
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,104.6213,104.7688,104.7398
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,28.6434,28.6077,28.6128
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,76.7921,76.7873,76.954
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,13.0117,13.0127,12.9842
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,50.5665,51.0407,51.2109
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,59.2873,58.7366,58.5286
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,46.1964,46.6672,46.5432
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,21.6301,21.4134,21.4737
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,74.0959,74.2257,73.9356
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,40.4564,40.3825,40.5404
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,67.27,67.1305,67.0003
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,14.8559,14.8872,14.9156
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,14.1829,14.2388,14.4256
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,211.443,210.523,207.8898
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,15.0104,14.9599,15.0277
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,66.6042,66.8284,66.5273
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,148.5349,148.2161,148.1466
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,20.1641,20.2089,20.2172
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,102.4811,102.4459,102.6673
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,9.7439,9.748,9.7264
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,8.4654,8.4789,8.473
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,353.6036,353.5765,353.7898
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,8.5704,8.5637,8.585
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,116.6653,116.7566,116.466
"Google Draco - Model: Lion (ms)",LIB,5013,4958,4954
"Google Draco - Model: Church Facade (ms)",LIB,6854,6752,6748
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,5.94,5.92,5.96
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,672.53,673.78,671.26
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,43.6,43.53,43.51
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,91.72,91.88,91.92
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,43.37,43.48,43.36
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,92.2,91.98,92.23
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,297.96,296.95,296.58
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,13.41,13.46,13.47
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,11.73,11.76,11.71
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,340.7,339.35,340.84
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,1368.22,1362.71,1373.25
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,2.91,2.92,2.9
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,136.82,136.66,135.08
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,29.21,29.24,29.58
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,646.05,645.11,645.86
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,6.18,6.18,6.18
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,589.54,590.35,590.91
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,13.55,13.53,13.52
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,2038.66,1988.45,1990.07
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,3.91,4.01,4.01
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,206.45,206.4,208.5
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,19.36,19.36,19.16
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,67.02,66.79,64.95
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,59.64,59.87,61.54
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1163.76,1163.2,1162.84
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,6.86,6.86,6.87
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,566.41,562.38,584.85
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,7.04,7.1,6.82
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,747.57,758.67,738.75
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,10.57,10.43,10.69
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,304.85,308.63,306
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,26.23,25.9,26.12
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,769.47,770.4,767.98
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,5.19,5.18,5.2
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,17845.54,17817.76,17864.73
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.44,0.44,0.44
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,328.64,326.11,327.2
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,24.33,24.51,24.43
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,25643.6,25543.04,25328.05
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.31,0.31,0.31
"RocksDB - Test: Overwrite (Op/s)",HIB,1112463,1099994,1092989
"RocksDB - Test: Random Fill (Op/s)",HIB,1099674,1098801,1093000
"RocksDB - Test: Random Read (Op/s)",HIB,60396550,60416662,60447022
"RocksDB - Test: Update Random (Op/s)",HIB,667251,664442,662151
"RocksDB - Test: Sequential Fill (Op/s)",HIB,1671410,1592104,1685641
"RocksDB - Test: Random Fill Sync (Op/s)",HIB,1629193,1600211,1634751
"RocksDB - Test: Read While Writing (Op/s)",HIB,2097339,2145876,2116553
"RocksDB - Test: Read Random Write Random (Op/s)",HIB,1927575,1929085,1921626
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,197629,197598,181031
"Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,17872,17691,