| Upload Date | October 29 2025 05:10 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7355
1.37 KIPS |
|
|
Image Classification (HP)
|
99% |
12866
2.40 KIPS |
|
|
Image Classification (Q)
|
99% |
6618
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13274
215.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19168
310.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12152
197.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
86866
101.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
248905
290.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
74862
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
9363
742.6 IPS |
|
|
Object Detection (HP)
|
100% |
17224
1.37 KIPS |
|
|
Object Detection (Q)
|
84% |
8330
671.9 IPS |
|
|
Face Detection (SP)
|
100% |
21970
261.1 IPS |
|
|
Face Detection (HP)
|
100% |
37099
440.8 IPS |
|
|
Face Detection (Q)
|
97% |
19430
231.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
42484
327.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86373
665.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
34523
276.2 IPS |
|
|
Style Transfer (SP)
|
100% |
140790
181.0 IPS |
|
|
Style Transfer (HP)
|
100% |
352378
453.0 IPS |
|
|
Style Transfer (Q)
|
98% |
129147
166.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29971
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49053
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22703
840.7 IPS |
|
|
Text Classification (SP)
|
100% |
3137
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
3618
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1968
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4369
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4677
80.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1966
36.9 IPS |