| User | DDD_Xleb |
| Upload Date | March 10 2025 09:40 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650I AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650I AX |
| 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% |
4929
916.6 IPS |
|
|
Image Classification (HP)
|
100% |
867
161.3 IPS |
|
|
Image Classification (Q)
|
99% |
9781
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2594
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4427
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9038
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7348
8.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
31215
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4619
366.3 IPS |
|
|
Object Detection (HP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (Q)
|
86% |
10029
806.0 IPS |
|
|
Face Detection (SP)
|
100% |
9892
117.5 IPS |
|
|
Face Detection (HP)
|
100% |
2460
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
11564
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11528
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3266
25.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20564
164.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22342
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17261
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35565
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3869
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3158
116.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5059
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
2144
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1103
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2328
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4893
98.3 IPS |