| User | gmn17 |
| Upload Date | September 17 2024 01:05 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3960X 24-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2517
468.0 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.2 IPS |
|
|
Image Classification (Q)
|
100% |
3674
683.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4748
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15143
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15003
17.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
19084
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (HP)
|
100% |
2872
227.8 IPS |
|
|
Object Detection (Q)
|
87% |
4483
359.6 IPS |
|
|
Face Detection (SP)
|
100% |
6290
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
6221
73.9 IPS |
|
|
Face Detection (Q)
|
97% |
15389
183.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8831
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9037
69.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
13622
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38673
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38722
49.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51987
67.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6606
243.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6521
240.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8399
311.1 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
91% |
131
175.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1345
23.2 IPS |