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 2210141-PTS-12900KOK37
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:
Processor: Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads), Motherboard: ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS), Chipset: Intel Alder Lake-S PCH, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB, Graphics: Intel DG2 8GB (2400MHz), Audio: Intel Alder Lake-S HD Audio, Monitor: ASUS VP28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 5.15.47+prerelease3723 (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.2.0-devel (git-44289c46d9), Vulkan: 1.3.219, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
B:
Processor: Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads), Motherboard: ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS), Chipset: Intel Alder Lake-S PCH, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB, Graphics: Intel DG2 8GB (2400MHz), Audio: Intel Alder Lake-S HD Audio, Monitor: ASUS VP28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 5.15.47+prerelease3723 (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.2.0-devel (git-44289c46d9), Vulkan: 1.3.219, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
C:
Processor: Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads), Motherboard: ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS), Chipset: Intel Alder Lake-S PCH, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB, Graphics: llvmpipe, Audio: Intel Alder Lake-S HD Audio, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 5.17.0-1019-oem (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.2.0-devel (git-44289c46d9) (LLVM 13.0.1 256 bits), Vulkan: 1.3.219, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency
ms < Lower Is Better
A . 0.338 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Only
TPS > Higher Is Better
A . 738775 |===================================================================
OpenRadioss 2022.10.13
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
A . 376.04 |=====================================================
B . 477.98 |===================================================================
C . 467.59 |==================================================================
OpenRadioss 2022.10.13
Model: Bird Strike on Windshield
Seconds < Lower Is Better
B . 200.58 |=======================================================
C . 245.63 |===================================================================
OpenRadioss 2022.10.13
Model: Bumper Beam
Seconds < Lower Is Better
A . 123.73 |===================================================
B . 123.94 |===================================================
C . 163.44 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency
ms < Lower Is Better
A . 0.012 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Only
TPS > Higher Is Better
A . 82889 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency
ms < Lower Is Better
A . 0.112 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Only
TPS > Higher Is Better
A . 889537 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency
ms < Lower Is Better
A . 0.062 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Only
TPS > Higher Is Better
A . 801682 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency
ms < Lower Is Better
A . 0.279 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Write
TPS > Higher Is Better
A . 3587 |=====================================================================
OpenRadioss 2022.10.13
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
B . 127.49 |================================================
C . 176.46 |===================================================================
OpenRadioss 2022.10.13
Model: Cell Phone Drop Test
Seconds < Lower Is Better
A . 77.11 |===================================================
B . 75.31 |==================================================
C . 101.73 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 755.92 |===================================================================
B . 752.72 |===================================================================
C . 749.66 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 10.25 |==================================================================
B . 10.31 |===================================================================
C . 10.52 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 751.72 |===================================================================
B . 751.24 |===================================================================
C . 753.52 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 10.33 |====================================================================
B . 10.33 |====================================================================
C . 10.31 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 184.09 |===================================================================
B . 183.78 |===================================================================
C . 183.66 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 43.42 |====================================================================
B . 43.45 |====================================================================
C . 43.51 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 177.09 |===================================================================
B . 176.08 |===================================================================
C . 177.18 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 44.81 |===================================================================
B . 45.22 |====================================================================
C . 44.78 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 103.40 |===================================================================
B . 103.15 |===================================================================
C . 103.24 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 9.6708 |===================================================================
B . 9.6943 |===================================================================
C . 9.6862 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 102.77 |===================================================================
B . 102.39 |===================================================================
C . 102.59 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 9.7302 |===================================================================
B . 9.7666 |===================================================================
C . 9.7475 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 27.60 |===================================================================
B . 27.81 |===================================================================
C . 28.03 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 36.23 |====================================================================
B . 35.96 |===================================================================
C . 35.67 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 91.79 |====================================================================
B . 91.60 |====================================================================
C . 91.74 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 86.96 |====================================================================
B . 87.21 |====================================================================
C . 87.08 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 31.15 |===================================================================
B . 31.64 |====================================================================
C . 31.49 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 32.10 |====================================================================
B . 31.60 |===================================================================
C . 31.75 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 114.70 |===================================================================
B . 114.59 |===================================================================
C . 114.62 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 69.47 |====================================================================
B . 69.53 |====================================================================
C . 69.44 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 14.11 |====================================================================
B . 14.18 |====================================================================
C . 14.06 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 70.88 |====================================================================
B . 70.48 |===================================================================
C . 71.11 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 17.45 |===================================================================
B . 17.57 |====================================================================
C . 17.59 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 57.29 |====================================================================
B . 56.89 |====================================================================
C . 56.85 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 57.82 |===================================================================
B . 57.65 |===================================================================
C . 58.43 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 138.12 |===================================================================
B . 138.44 |===================================================================
C . 136.60 |==================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 10.05 |====================================================================
B . 10.06 |====================================================================
C . 10.09 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 99.46 |====================================================================
B . 99.37 |====================================================================
C . 99.04 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Write
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Only
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Write
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 1 - Clients: 500 - Mode: Read Write
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Write
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Write
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Only
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 1 - Clients: 500 - Mode: Read Only
TPS > Higher Is Better
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Write
TPS > Higher Is Better