| Upload Date | November 17 2025 02:56 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650M-AYW WIFI |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3461
643.7 IPS |
|
|
Image Classification (HP)
|
100% |
737
137.1 IPS |
|
|
Image Classification (Q)
|
99% |
7507
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3634
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6287
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
5320
6.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
22245
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
3247
257.6 IPS |
|
|
Object Detection (HP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (Q)
|
86% |
7881
633.4 IPS |
|
|
Face Detection (SP)
|
100% |
7365
87.5 IPS |
|
|
Face Detection (HP)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
9926
118.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2738
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16531
131.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16064
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12715
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28362
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3013
111.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2573
95.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4208
155.8 IPS |
|
|
Text Classification (SP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2032
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2839
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4509
90.6 IPS |