| Upload Date | November 12 2025 10:17 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8363
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
15017
2.79 KIPS |
|
|
Image Classification (Q)
|
99% |
7526
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11978
194.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16408
266.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11144
181.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
101245
118.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
310512
362.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
84829
99.4 IPS |
|
|
Object Detection (SP)
|
100% |
10773
854.5 IPS |
|
|
Object Detection (HP)
|
100% |
17524
1.39 KIPS |
|
|
Object Detection (Q)
|
83% |
9403
759.7 IPS |
|
|
Face Detection (SP)
|
100% |
25040
297.5 IPS |
|
|
Face Detection (HP)
|
100% |
40654
483.1 IPS |
|
|
Face Detection (Q)
|
97% |
22040
262.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
49969
385.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105781
815.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
40416
323.1 IPS |
|
|
Style Transfer (SP)
|
100% |
151066
194.2 IPS |
|
|
Style Transfer (HP)
|
100% |
532804
684.9 IPS |
|
|
Style Transfer (Q)
|
98% |
129310
166.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29017
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54463
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22716
841.1 IPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2210
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4049
69.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1780
33.4 IPS |