| Upload Date | January 13 2026 03:43 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| 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% |
13575
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
19057
3.55 KIPS |
|
|
Image Classification (Q)
|
100% |
11817
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24978
404.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34191
554.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23330
379.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
260051
303.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
536036
625.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
228414
267.6 IPS |
|
|
Object Detection (SP)
|
100% |
17560
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
25417
2.02 KIPS |
|
|
Object Detection (Q)
|
85% |
15124
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
50315
597.8 IPS |
|
|
Face Detection (HP)
|
100% |
69323
823.7 IPS |
|
|
Face Detection (Q)
|
97% |
43835
522.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
86511
666.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
158477
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64625
516.1 IPS |
|
|
Style Transfer (SP)
|
100% |
396804
510.1 IPS |
|
|
Style Transfer (HP)
|
100% |
924738
1.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
347062
447.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56247
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77001
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43214
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4567
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2280
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6529
112.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6409
110.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2876
53.9 IPS |