| Upload Date | November 08 2025 11:46 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B840-PLUS WIFI |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7965
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
14369
2.67 KIPS |
|
|
Image Classification (Q)
|
99% |
7085
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13899
225.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21170
343.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12648
205.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
99684
116.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
310317
362.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
80835
94.7 IPS |
|
|
Object Detection (SP)
|
100% |
10412
825.9 IPS |
|
|
Object Detection (HP)
|
100% |
17433
1.38 KIPS |
|
|
Object Detection (Q)
|
83% |
9016
728.5 IPS |
|
|
Face Detection (SP)
|
100% |
25772
306.2 IPS |
|
|
Face Detection (HP)
|
100% |
44379
527.3 IPS |
|
|
Face Detection (Q)
|
97% |
22704
270.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
47514
366.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99760
768.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
38725
309.6 IPS |
|
|
Style Transfer (SP)
|
100% |
147457
189.6 IPS |
|
|
Style Transfer (HP)
|
100% |
513967
660.7 IPS |
|
|
Style Transfer (Q)
|
98% |
125379
161.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27114
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51782
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21220
785.8 IPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2033
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4648
80.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1846
34.6 IPS |