| Upload Date | January 15 2026 04:32 PM |
| Views | 5 |
| 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% |
13295
2.47 KIPS |
|
|
Image Classification (HP)
|
99% |
18854
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11582
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25780
417.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
35269
571.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
23622
384.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
263761
307.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
532708
621.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
234125
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
17270
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
25297
2.01 KIPS |
|
|
Object Detection (Q)
|
85% |
14941
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
52861
628.1 IPS |
|
|
Face Detection (HP)
|
100% |
71728
852.3 IPS |
|
|
Face Detection (Q)
|
97% |
44762
533.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
79418
611.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
159473
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61070
487.7 IPS |
|
|
Style Transfer (SP)
|
100% |
398653
512.5 IPS |
|
|
Style Transfer (HP)
|
100% |
930490
1.20 KIPS |
|
|
Style Transfer (Q)
|
98% |
348559
449.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55108
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75540
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41847
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4334
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6609
113.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6465
111.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2947
55.3 IPS |