| User | acnosov |
| Upload Date | March 21 2025 09:56 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (HP)
|
100% |
654
121.7 IPS |
|
|
Image Classification (Q)
|
99% |
5708
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3878
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7498
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
6435
7.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
28263
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2799
222.0 IPS |
|
|
Object Detection (HP)
|
100% |
858
68.0 IPS |
|
|
Object Detection (Q)
|
88% |
2472
198.1 IPS |
|
|
Face Detection (SP)
|
100% |
4171
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
2059
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
6327
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9172
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2877
22.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7991
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19197
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16997
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31023
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3023
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2730
100.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4119
152.5 IPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1922
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2625
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2766
61.7 IPS |