| User | gmn17 |
| Upload Date | June 30 2025 11:20 PM |
| Views | 6 |
| 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 Balanced |
| 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% |
2625
488.2 IPS |
|
|
Image Classification (HP)
|
100% |
2595
482.6 IPS |
|
|
Image Classification (Q)
|
100% |
4016
746.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2604
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2585
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8183
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14606
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14278
16.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
18771
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
3174
251.7 IPS |
|
|
Object Detection (HP)
|
100% |
3180
252.3 IPS |
|
|
Object Detection (Q)
|
87% |
4997
400.8 IPS |
|
|
Face Detection (SP)
|
100% |
6537
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
6356
75.5 IPS |
|
|
Face Detection (Q)
|
97% |
16398
195.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8612
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8630
66.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
13709
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37474
48.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38128
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
51984
67.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6762
249.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6748
249.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8319
308.1 IPS |
|
|
Text Classification (SP)
|
100% |
1693
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (Q)
|
91% |
114
153.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1177
20.3 IPS |