| Upload Date | October 29 2025 04:59 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3028
563.2 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.6 IPS |
|
|
Image Classification (Q)
|
99% |
7654
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3971
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5237
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4161
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
21490
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (Q)
|
86% |
5531
444.5 IPS |
|
|
Face Detection (SP)
|
100% |
7317
86.9 IPS |
|
|
Face Detection (HP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
9790
116.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6424
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2426
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16269
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11975
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10857
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27714
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2499
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5627
208.4 IPS |
|
|
Text Classification (SP)
|
100% |
2143
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
521
698.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2956
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1176
20.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4437
89.2 IPS |