| Upload Date | January 17 2026 02:19 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650-A GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12152
2.26 KIPS |
|
|
Image Classification (HP)
|
99% |
18648
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10721
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22773
369.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
31425
509.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20678
336.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
171331
199.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
453308
528.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
150175
176.0 IPS |
|
|
Object Detection (SP)
|
100% |
15223
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
24220
1.92 KIPS |
|
|
Object Detection (Q)
|
85% |
12846
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
43801
520.5 IPS |
|
|
Face Detection (HP)
|
100% |
63769
757.7 IPS |
|
|
Face Detection (Q)
|
97% |
37380
445.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
71159
548.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
125167
967.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
54954
439.4 IPS |
|
|
Style Transfer (SP)
|
100% |
304213
391.1 IPS |
|
|
Style Transfer (HP)
|
100% |
726418
933.8 IPS |
|
|
Style Transfer (Q)
|
98% |
267488
344.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50148
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64716
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35389
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4418
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2144
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5996
103.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6020
103.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2732
51.2 IPS |