| Upload Date | December 23 2025 10:45 AM |
| Views | 6 |
| 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 H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M H |
| 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% |
8250
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
14842
2.76 KIPS |
|
|
Image Classification (Q)
|
99% |
7382
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11690
189.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15921
258.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10851
176.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
102660
119.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
318233
371.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
85410
100.0 IPS |
|
|
Object Detection (SP)
|
100% |
10665
845.9 IPS |
|
|
Object Detection (HP)
|
100% |
17232
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
9280
749.8 IPS |
|
|
Face Detection (SP)
|
100% |
24858
295.4 IPS |
|
|
Face Detection (HP)
|
100% |
39550
469.9 IPS |
|
|
Face Detection (Q)
|
97% |
21943
261.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
49781
383.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103130
794.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
40653
325.0 IPS |
|
|
Style Transfer (SP)
|
100% |
155408
199.8 IPS |
|
|
Style Transfer (HP)
|
100% |
533901
686.3 IPS |
|
|
Style Transfer (Q)
|
98% |
131078
169.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28799
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54805
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22746
842.3 IPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4072
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2190
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3634
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1739
32.6 IPS |