| Upload Date | November 06 2025 08:23 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650-A GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8640
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
13340
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
7583
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13852
224.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18458
299.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12919
210.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
110766
129.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
345355
403.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
97938
114.7 IPS |
|
|
Object Detection (SP)
|
100% |
10423
826.7 IPS |
|
|
Object Detection (HP)
|
100% |
17159
1.36 KIPS |
|
|
Object Detection (Q)
|
89% |
8539
683.8 IPS |
|
|
Face Detection (SP)
|
100% |
22455
266.8 IPS |
|
|
Face Detection (HP)
|
100% |
36072
428.6 IPS |
|
|
Face Detection (Q)
|
97% |
18506
220.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
51292
395.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
93293
718.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
39949
320.9 IPS |
|
|
Style Transfer (SP)
|
100% |
193378
248.6 IPS |
|
|
Style Transfer (HP)
|
100% |
465964
599.0 IPS |
|
|
Style Transfer (Q)
|
98% |
172090
221.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33886
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53102
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25533
945.5 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
4263
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2070
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3972
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1690
37.7 IPS |