| User | anindya32 |
| Upload Date | October 26 2025 03:00 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4468
830.9 IPS |
|
|
Image Classification (HP)
|
100% |
830
154.4 IPS |
|
|
Image Classification (Q)
|
99% |
9212
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11217
182.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7247
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6254
7.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
27673
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
4045
320.9 IPS |
|
|
Object Detection (HP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (Q)
|
86% |
9538
766.6 IPS |
|
|
Face Detection (SP)
|
100% |
9299
110.5 IPS |
|
|
Face Detection (HP)
|
100% |
2033
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
11101
132.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9753
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2941
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19491
155.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17659
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15441
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30774
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3242
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7215
267.1 IPS |
|
|
Text Classification (SP)
|
100% |
2641
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1204
1.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2073
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4117
82.7 IPS |