| Upload Date | October 29 2025 09:28 AM |
| Views | 5 |
| 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 WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8276
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
14855
2.76 KIPS |
|
|
Image Classification (Q)
|
99% |
7330
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11717
189.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16217
262.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10902
177.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
101033
117.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
306111
357.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
85132
99.7 IPS |
|
|
Object Detection (SP)
|
100% |
10405
825.3 IPS |
|
|
Object Detection (HP)
|
100% |
16433
1.30 KIPS |
|
|
Object Detection (Q)
|
83% |
8980
725.5 IPS |
|
|
Face Detection (SP)
|
100% |
24694
293.4 IPS |
|
|
Face Detection (HP)
|
100% |
39210
465.9 IPS |
|
|
Face Detection (Q)
|
97% |
21857
260.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
49270
379.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98304
757.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
39571
316.4 IPS |
|
|
Style Transfer (SP)
|
100% |
149675
192.4 IPS |
|
|
Style Transfer (HP)
|
100% |
511802
657.9 IPS |
|
|
Style Transfer (Q)
|
98% |
128312
165.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27884
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52558
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21748
805.3 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2129
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3973
68.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1725
32.3 IPS |