| Upload Date | February 09 2026 04:46 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 7970X 32-Cores |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5647
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
5674
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
10868
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9525
154.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9250
149.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23092
374.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28132
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
27969
32.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
107187
125.5 IPS |
|
|
Object Detection (SP)
|
100% |
7341
582.3 IPS |
|
|
Object Detection (HP)
|
100% |
7409
587.7 IPS |
|
|
Object Detection (Q)
|
88% |
13648
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
17255
205.0 IPS |
|
|
Face Detection (HP)
|
100% |
17545
208.5 IPS |
|
|
Face Detection (Q)
|
100% |
40418
480.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21821
168.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21428
165.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
46883
364.8 IPS |
|
|
Style Transfer (SP)
|
100% |
69092
88.8 IPS |
|
|
Style Transfer (HP)
|
100% |
68968
88.7 IPS |
|
|
Style Transfer (Q)
|
98% |
221465
285.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11239
415.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11285
416.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24901
922.2 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2729
3.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2928
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4870
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4877
84.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5088
87.6 IPS |