| Upload Date | November 24 2025 11:54 AM |
| Views | 4 |
| 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 WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8189
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
14946
2.78 KIPS |
|
|
Image Classification (Q)
|
99% |
7339
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12638
204.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18115
293.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11949
194.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
100404
117.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
307832
359.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
83911
98.3 IPS |
|
|
Object Detection (SP)
|
100% |
10602
840.9 IPS |
|
|
Object Detection (HP)
|
100% |
17238
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
9230
745.7 IPS |
|
|
Face Detection (SP)
|
100% |
24431
290.3 IPS |
|
|
Face Detection (HP)
|
100% |
40618
482.6 IPS |
|
|
Face Detection (Q)
|
97% |
22284
265.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
48827
376.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103607
798.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
38976
311.6 IPS |
|
|
Style Transfer (SP)
|
100% |
152383
195.9 IPS |
|
|
Style Transfer (HP)
|
100% |
524183
673.8 IPS |
|
|
Style Transfer (Q)
|
98% |
127794
164.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28745
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54335
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22382
828.8 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2200
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4104
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4275
73.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1804
33.8 IPS |