AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0703 BIOS) and AMD Radeon RX 6800/6800 XT / 6900 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 2210132-PTS-NEWTESTS88
new tests thurs
AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0703 BIOS) and AMD Radeon RX 6800/6800 XT / 6900 on Ubuntu 22.10 via the Phoronix Test Suite.
A:
Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0703 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus + 32GB Flash Drive, Graphics: AMD Radeon RX 6800/6800 XT / 6900 (2475/1000MHz), Audio: AMD Navi 21/23, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.10, Kernel: 5.19.0-19-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.2.0 (LLVM 15.0.1 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160
B:
Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0703 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus + 32GB Flash Drive, Graphics: AMD Radeon RX 6800/6800 XT / 6900 (2475/1000MHz), Audio: AMD Navi 21/23, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.10, Kernel: 5.19.0-19-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.2.0 (LLVM 15.0.1 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160
C:
Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0703 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus + 32GB Flash Drive, Graphics: AMD Radeon RX 6800/6800 XT / 6900 (2475/1000MHz), Audio: AMD Navi 21/23, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.10, Kernel: 5.19.0-19-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.2.0 (LLVM 15.0.1 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 12.45 |====================================================================
B . 12.41 |====================================================================
C . 12.42 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 638.90 |===================================================================
B . 638.18 |===================================================================
C . 639.75 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 11.51 |====================================================================
B . 11.55 |====================================================================
C . 11.56 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 86.86 |====================================================================
B . 86.55 |====================================================================
C . 86.53 |====================================================================
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 . 98.07 |====================================================================
B . 98.56 |====================================================================
C . 97.62 |===================================================================
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 . 81.55 |====================================================================
B . 81.14 |===================================================================
C . 81.92 |====================================================================
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 . 63.78 |====================================================================
B . 63.89 |====================================================================
C . 63.62 |====================================================================
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 . 15.67 |====================================================================
B . 15.65 |====================================================================
C . 15.71 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 108.86 |===================================================================
B . 108.44 |===================================================================
C . 108.43 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 73.46 |====================================================================
B . 73.76 |====================================================================
C . 73.76 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 94.80 |====================================================================
B . 95.15 |====================================================================
C . 94.99 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 10.54 |====================================================================
B . 10.50 |====================================================================
C . 10.52 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 292.34 |===================================================================
B . 294.14 |===================================================================
C . 292.46 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 27.35 |====================================================================
B . 27.19 |====================================================================
C . 27.34 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 199.45 |===================================================================
B . 199.75 |===================================================================
C . 200.47 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 5.0093 |===================================================================
B . 5.0011 |===================================================================
C . 4.9834 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 182.48 |===================================================================
B . 183.34 |===================================================================
C . 183.76 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 43.83 |====================================================================
B . 43.62 |====================================================================
C . 43.52 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 110.66 |==================================================================
B . 112.69 |===================================================================
C . 112.67 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 9.0330 |===================================================================
B . 8.8697 |==================================================================
C . 8.8714 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 95.20 |===================================================================
B . 95.57 |====================================================================
C . 96.06 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 84.03 |====================================================================
B . 83.70 |====================================================================
C . 83.27 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 59.36 |====================================================================
B . 59.03 |====================================================================
C . 59.41 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 16.84 |====================================================================
B . 16.94 |====================================================================
C . 16.83 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 12.38 |====================================================================
B . 12.42 |====================================================================
C . 12.42 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 642.85 |===================================================================
B . 641.43 |===================================================================
C . 640.53 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 11.50 |====================================================================
B . 11.53 |====================================================================
C . 11.51 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 86.96 |====================================================================
B . 86.72 |====================================================================
C . 86.85 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Only
TPS > Higher Is Better
A . 62767 |===================================================================
B . 63854 |====================================================================
C . 64067 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency
ms < Lower Is Better
A . 0.016 |====================================================================
B . 0.016 |====================================================================
C . 0.016 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Write
TPS > Higher Is Better
A . 2023 |=====================================================================
B . 1840 |===============================================================
C . 1780 |=============================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency
ms < Lower Is Better
A . 0.494 |============================================================
B . 0.544 |==================================================================
C . 0.562 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Only
TPS > Higher Is Better
A . 920485 |===================================================================
B . 920816 |===================================================================
C . 923688 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency
ms < Lower Is Better
A . 0.054 |====================================================================
B . 0.054 |====================================================================
C . 0.054 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Only
TPS > Higher Is Better
A . 912904 |===================================================================
B . 906853 |==================================================================
C . 917912 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency
ms < Lower Is Better
A . 0.110 |====================================================================
B . 0.110 |====================================================================
C . 0.109 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Write
TPS > Higher Is Better
A . 1948 |=====================================================================
B . 1946 |=====================================================================
C . 1865 |==================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency
ms < Lower Is Better
A . 25.67 |=================================================================
B . 25.70 |=================================================================
C . 26.81 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Only
TPS > Higher Is Better
A . 59058 |===================================================================
B . 59808 |====================================================================
C . 55784 |===============================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency
ms < Lower Is Better
A . 0.017 |================================================================
B . 0.017 |================================================================
C . 0.018 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Write
TPS > Higher Is Better
A . 1783 |=====================================================================
B . 1774 |=====================================================================
C . 1767 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency
ms < Lower Is Better
A . 56.09 |===================================================================
B . 56.37 |====================================================================
C . 56.58 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Write
TPS > Higher Is Better
A . 1908 |====================================================================
B . 1938 |=====================================================================
C . 1770 |===============================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency
ms < Lower Is Better
A . 0.524 |===============================================================
B . 0.516 |==============================================================
C . 0.565 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Only
TPS > Higher Is Better
A . 883539 |===================================================================
B . 888448 |===================================================================
C . 881737 |==================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency
ms < Lower Is Better
A . 0.057 |====================================================================
B . 0.056 |===================================================================
C . 0.057 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
TPS > Higher Is Better
A . 875399 |===================================================================
B . 876999 |===================================================================
C . 881660 |===================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency
ms < Lower Is Better
A . 0.114 |====================================================================
B . 0.114 |====================================================================
C . 0.113 |===================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Write
TPS > Higher Is Better
A . 21799 |====================================================================
B . 13634 |===========================================
C . 13307 |==========================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency
ms < Lower Is Better
A . 2.399 |===========================================
B . 3.667 |==================================================================
C . 3.758 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
TPS > Higher Is Better
A . 16107 |============================================================
B . 16298 |=============================================================
C . 18136 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
ms < Lower Is Better
A . 6.223 |====================================================================
B . 6.136 |===================================================================
C . 5.514 |============================================================