ssa

AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB 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 2210168-NE-SSA97275956
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A
October 16 2022
  1 Hour, 26 Minutes
B
October 16 2022
  1 Hour, 27 Minutes
C
October 16 2022
  1 Hour, 28 Minutes
D
October 16 2022
  1 Hour, 27 Minutes
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ssa AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Ubuntu 22.10 via the Phoronix Test Suite. ,,"A","B","C","D" Processor,,AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads),AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads),AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads),AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads) Motherboard,,LENOVO 21CM0001US (R22ET51W 1.21 BIOS),LENOVO 21CM0001US (R22ET51W 1.21 BIOS),LENOVO 21CM0001US (R22ET51W 1.21 BIOS),LENOVO 21CM0001US (R22ET51W 1.21 BIOS) Chipset,,AMD Device 14b5,AMD Device 14b5,AMD Device 14b5,AMD Device 14b5 Memory,,16GB,16GB,16GB,16GB Disk,,512GB Micron MTFDKBA512TFK,512GB Micron MTFDKBA512TFK,512GB Micron MTFDKBA512TFK,512GB Micron MTFDKBA512TFK Graphics,,AMD Radeon 680M 1GB (2200/400MHz),AMD Radeon 680M 1GB (2200/400MHz),AMD Radeon 680M 1GB (2200/400MHz),AMD Radeon 680M 1GB (2200/400MHz) Audio,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio Network,,Qualcomm QCNFA765,Qualcomm QCNFA765,Qualcomm QCNFA765,Qualcomm QCNFA765 OS,,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10 Kernel,,6.0.0-060000rc2daily20220824-generic (x86_64),6.0.0-060000rc2daily20220824-generic (x86_64),6.0.0-060000rc2daily20220824-generic (x86_64),6.0.0-060000rc2daily20220824-generic (x86_64) Desktop,,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48),4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48),4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48),4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48) Vulkan,,1.3.211,1.3.211,1.3.211,1.3.211 Compiler,,GCC 11.3.0,GCC 11.3.0,GCC 11.3.0,GCC 11.3.0 File-System,,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200,1920x1200 ,,"A","B","C","D" "OpenRadioss - Model: Bumper Beam (sec)",LIB,245.34,248.82,252.17,248.5 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,187.99,183.36,184.71,183.8 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,463.03,462.03,470.03,468.03 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,320.24,320.34,334.03,326.46 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,952.66,970.46,994.75,996.65 "JPEG XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,8.68,8.71,8.59,8.6 "JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,8.53,8.58,8.51,8.54 "JPEG XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,8.26,8.32,8.3,8.26 "JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,8.09,8.17,8.12,8.14 "JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,0.67,0.68,0.67,0.68 "JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,0.66,0.64,0.64,0.64 "JPEG XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,45.39,45.05,45.27,44.6 "JPEG XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,190.85,192.29,190.78,188.77 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,214.913,214.514,214.976,215.223 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,97.548,97.577,97.742,97.765 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,9.656,9.666,9.702,9.673 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,14.346,14.391,14.446,14.45 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,6.466,6.454,6.542,6.49 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,4.6528,4.6587,4.6435,4.658 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,859.6756,858.5729,861.386,858.7126 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,4.5777,4.5617,4.5637,4.5476 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,218.4311,219.1992,219.1035,219.8762 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,18.7249,18.4902,18.5528,18.8874 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,213.5688,215.8989,215.0117,211.7543 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,16.9412,16.9376,16.9143,16.9222 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,59.0071,59.019,59.1006,59.0729 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,26.7443,26.777,26.596,26.6604 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,149.5322,149.351,150.3698,150.005 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,26.2336,26.153,26.1149,26.1356 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,38.098,38.2146,38.2706,38.2394 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,56.7028,56.8076,57.1105,56.8415 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,70.5191,70.363,70.0178,70.3496 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,51.8841,51.5079,51.6335,51.3838 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,19.2555,19.3959,19.3471,19.4431 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,41.8844,42.1365,42.0851,42.0277 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,95.4792,94.9085,95.0246,95.1548 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,38.1377,38.2646,38.2188,38.2507 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,26.2046,26.1179,26.1502,26.1275 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,19.8293,19.8003,19.7933,19.8367 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,201.6978,201.9925,202.0658,201.6249 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,18.3668,18.3639,18.3725,18.3166 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,54.4291,54.4376,54.4131,54.5794 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,4.638,4.6277,4.64,4.6606 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,862.3978,864.0527,862.036,858.2263 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,4.5614,4.5483,4.5782,4.5487 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,219.2155,219.845,218.4098,219.8251