| User | gmn17 |
| Upload Date | September 14 2025 06:29 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| 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% |
7165
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
9507
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
5144
959.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10508
170.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13316
215.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8295
134.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
101274
118.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
287067
335.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
82353
96.5 IPS |
|
|
Object Detection (SP)
|
100% |
8617
683.5 IPS |
|
|
Object Detection (HP)
|
100% |
11610
920.9 IPS |
|
|
Object Detection (Q)
|
85% |
6353
511.4 IPS |
|
|
Face Detection (SP)
|
100% |
20529
243.9 IPS |
|
|
Face Detection (HP)
|
100% |
28631
340.2 IPS |
|
|
Face Detection (Q)
|
97% |
15736
187.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
48097
370.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
73782
568.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
30399
243.5 IPS |
|
|
Style Transfer (SP)
|
100% |
194072
249.5 IPS |
|
|
Style Transfer (HP)
|
100% |
399484
513.5 IPS |
|
|
Style Transfer (Q)
|
98% |
144129
185.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28603
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37786
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16436
608.6 IPS |
|
|
Text Classification (SP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (HP)
|
99% |
2924
3.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1152
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3063
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1344
25.2 IPS |