| User | MasterofFuppets |
| Upload Date | May 19 2025 04:55 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-8120 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. GA-990FXA-UD3 |
| Motherboard | Gigabyte Technology Co., Ltd. GA-990FXA-UD3 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD FX-8120 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 1 Stepping 2 |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
96% |
715
133.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
465
7.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
1481
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (Q)
|
58% |
475
51.9 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
480
5.71 IPS |
|
|
Face Detection (Q)
|
96% |
1135
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
990
7.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
567
4.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
1385
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2133
2.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1781
2.29 IPS |
|
|
Style Transfer (Q)
|
87% |
2345
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
554
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.9 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.5 IPS |
|
|
Text Classification (Q)
|
97% |
169
225.7 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (Q)
|
68% |
656
12.7 IPS |