Intel Core i9-12900K testing with a ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS) and llvmpipe on Ubuntu 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 2210146-PTS-12900KOK59
12900k okt
Intel Core i9-12900K testing with a ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.
,,"A","B","C","D"
Processor,,Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads),Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads),Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads),Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads)
Motherboard,,ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS),ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS),ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS),ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS)
Chipset,,Intel Alder Lake-S PCH,Intel Alder Lake-S PCH,Intel Alder Lake-S PCH,Intel Alder Lake-S PCH
Memory,,32GB,32GB,32GB,32GB
Disk,,1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB,1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB,1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB,1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB
Graphics,,Intel DG2 8GB (2400MHz),Intel DG2 8GB (2400MHz),llvmpipe,llvmpipe
Audio,,Intel Alder Lake-S HD Audio,Intel Alder Lake-S HD Audio,Intel Alder Lake-S HD Audio,Intel Alder Lake-S HD Audio
Monitor,,ASUS VP28U,ASUS VP28U,,
Network,,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.15.47+prerelease3723 (x86_64),5.15.47+prerelease3723 (x86_64),5.17.0-1019-oem (x86_64),5.17.0-1019-oem (x86_64)
Desktop,,GNOME Shell 42.2,GNOME Shell 42.2,GNOME Shell 42.2,GNOME Shell 42.2
Display Server,,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3,X Server 1.21.1.3
OpenGL,,4.6 Mesa 22.2.0-devel (git-44289c46d9),4.6 Mesa 22.2.0-devel (git-44289c46d9),4.5 Mesa 22.2.0-devel (git-44289c46d9) (LLVM 13.0.1 256 bits),4.5 Mesa 22.2.0-devel (git-44289c46d9) (LLVM 13.0.1 256 bits)
Vulkan,,1.3.219,1.3.219,1.3.219,1.3.219
Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0
File-System,,ext4,ext4,ext4,ext4
Screen Resolution,,3840x2160,3840x2160,3840x2160,3840x2160
,,"A","B","C","D"
"OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,175.49,127.49,176.46,175.67
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,77.11,75.31,101.73,102.69
"OpenRadioss - Model: Bumper Beam (sec)",LIB,123.73,123.94,163.44,161.02
"OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,376.04,477.98,467.59,475.39
"OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,253.61,200.58,245.63,247.09
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,10.254,10.3114,10.5179,10.5592
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,138.1222,138.436,136.6022,139.9444
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,31.1467,31.6428,31.4926,31.8881
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,32.0994,31.5964,31.747,31.3533
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,57.8164,57.6497,58.4254,57.1012
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,36.228,35.9597,35.6731,35.6923
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,27.5999,27.8056,28.029,28.014
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,69.4748,69.528,69.4446,70.3224
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,114.7044,114.5888,114.6217,113.3246
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,70.8798,70.4836,71.1115,71.329
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,14.1055,14.1848,14.0594,14.0167
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,184.0942,183.7765,183.6571,182.1599
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,755.9228,752.7193,749.6611,748.3092
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,44.8145,45.2205,44.7779,44.8469
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,57.2919,56.8949,56.8462,56.779
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,17.4489,17.5709,17.5859,17.6064
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,177.0946,176.0824,177.1796,177.1483
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,10.0498,10.0595,10.0929,10.0597
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,99.4625,99.372,99.043,99.3696
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,43.4207,43.4531,43.5098,43.5879
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,9.7302,9.7666,9.7475,9.7409
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,102.7691,102.3869,102.5868,102.6567
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,751.717,751.2376,753.517,751.1171
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,9.6708,9.6943,9.6862,9.6637
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,103.4008,103.1503,103.2362,103.4766
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,86.9563,87.212,87.0782,87.0605
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,91.785,91.6021,91.7367,91.7115
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,10.3291,10.3257,10.3103,10.3197
"PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.338,,,
"PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Only (TPS)",HIB,738775,,,
"PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.112,,,
"PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Only (TPS)",HIB,889537,,,
"PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.062,,,
"PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Only (TPS)",HIB,801682,,,
"PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency (ms)",LIB,0.279,,,
"PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Write (TPS)",HIB,3587,,,
"PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency (ms)",LIB,0.012,,,
"PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Only (TPS)",HIB,82889,,,