| Upload Date | November 26 2025 11:46 AM |
| Views | 9 |
| 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 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8161
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
14607
2.72 KIPS |
|
|
Image Classification (Q)
|
99% |
7292
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11502
186.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15774
255.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10717
174.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
99586
116.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
311595
363.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
83052
97.3 IPS |
|
|
Object Detection (SP)
|
100% |
10513
833.9 IPS |
|
|
Object Detection (HP)
|
100% |
16930
1.34 KIPS |
|
|
Object Detection (Q)
|
83% |
9129
737.6 IPS |
|
|
Face Detection (SP)
|
100% |
24419
290.2 IPS |
|
|
Face Detection (HP)
|
100% |
39251
466.4 IPS |
|
|
Face Detection (Q)
|
97% |
21640
258.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
48916
376.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102402
788.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
39604
316.6 IPS |
|
|
Style Transfer (SP)
|
100% |
151825
195.2 IPS |
|
|
Style Transfer (HP)
|
100% |
522122
671.2 IPS |
|
|
Style Transfer (Q)
|
98% |
127068
163.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28595
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54258
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22277
824.9 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1654
31.0 IPS |