| User | Gigaherz |
| Upload Date | December 14 2025 01:31 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 1950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH EXTREME ALPHA |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 1950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1858
345.5 IPS |
|
|
Image Classification (HP)
|
100% |
1813
337.1 IPS |
|
|
Image Classification (Q)
|
100% |
2356
438.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2555
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6165
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6256
7.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
6774
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (Q)
|
87% |
2281
182.9 IPS |
|
|
Face Detection (SP)
|
100% |
6082
72.3 IPS |
|
|
Face Detection (HP)
|
100% |
4846
57.6 IPS |
|
|
Face Detection (Q)
|
97% |
8546
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5547
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6660
51.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
7165
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16460
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14412
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19220
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3438
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2684
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3826
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
1330
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1653
2.21 KIPS |
|
|
Text Classification (Q)
|
91% |
149
199.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1651
28.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1442
24.8 IPS |