| Upload Date | February 09 2026 04:31 PM |
| Views | 4 |
| 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% |
13124
2.44 KIPS |
|
|
Image Classification (HP)
|
99% |
18875
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11407
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25377
411.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34914
566.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22979
373.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
255674
298.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
513681
599.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
223460
261.8 IPS |
|
|
Object Detection (SP)
|
100% |
16959
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
24977
1.98 KIPS |
|
|
Object Detection (Q)
|
85% |
14641
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
51549
612.5 IPS |
|
|
Face Detection (HP)
|
100% |
70026
832.1 IPS |
|
|
Face Detection (Q)
|
97% |
42999
512.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
76930
592.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
150507
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58667
468.5 IPS |
|
|
Style Transfer (SP)
|
100% |
389249
500.4 IPS |
|
|
Style Transfer (HP)
|
100% |
895846
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
336926
434.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53981
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73241
2.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39532
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4283
5.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2160
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6394
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6093
105.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2789
52.3 IPS |