Upload Date | January 04 2025 12:20 AM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD FX-8320 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
Motherboard | Gigabyte Technology Co., Ltd. 970A-DS3P |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD FX-8320 |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
Base Frequency | 3.50 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
262
48.8 IPS |
|
Image Classification (HP)
|
100% |
112
20.9 IPS |
|
Image Classification (Q)
|
96% |
447
83.4 IPS |
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
Image Segmentation (HP)
|
100% |
141
2.28 IPS |
|
Image Segmentation (Q)
|
97% |
344
5.60 IPS |
|
Pose Estimation (SP)
|
100% |
556
0.65 IPS |
|
Pose Estimation (HP)
|
100% |
558
0.65 IPS |
|
Pose Estimation (Q)
|
86% |
1027
1.21 IPS |
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
Object Detection (Q)
|
58% |
369
40.3 IPS |
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
Face Detection (HP)
|
100% |
338
4.01 IPS |
|
Face Detection (Q)
|
96% |
1053
12.6 IPS |
|
Depth Estimation (SP)
|
100% |
726
5.59 IPS |
|
Depth Estimation (HP)
|
99% |
411
3.17 IPS |
|
Depth Estimation (Q)
|
78% |
960
7.64 IPS |
|
Style Transfer (SP)
|
100% |
1570
2.02 IPS |
|
Style Transfer (HP)
|
100% |
1468
1.89 IPS |
|
Style Transfer (Q)
|
87% |
1992
2.59 IPS |
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
277
10.2 IPS |
|
Image Super-Resolution (Q)
|
97% |
409
15.2 IPS |
|
Text Classification (SP)
|
100% |
305
406.6 IPS |
|
Text Classification (HP)
|
100% |
161
214.8 IPS |
|
Text Classification (Q)
|
97% |
159
212.4 IPS |
|
Machine Translation (SP)
|
100% |
365
6.29 IPS |
|
Machine Translation (HP)
|
100% |
164
2.83 IPS |
|
Machine Translation (Q)
|
68% |
477
9.22 IPS |