| User | Cric_Hammel |
| Upload Date | February 16 2025 08:33 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M S2H |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (Q)
|
96% |
3325
620.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
2076
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3256
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2812
3.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
7385
8.73 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.3 IPS |
|
|
Object Detection (HP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (Q)
|
58% |
2276
248.6 IPS |
|
|
Face Detection (SP)
|
100% |
3614
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
1191
14.2 IPS |
|
|
Face Detection (Q)
|
96% |
5925
70.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4421
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1644
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7002
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8436
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6945
8.93 IPS |
|
|
Style Transfer (Q)
|
87% |
10868
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1431
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2306
85.5 IPS |
|
|
Text Classification (SP)
|
100% |
1223
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
621
828.7 IPS |
|
|
Text Classification (Q)
|
97% |
1219
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2505
48.4 IPS |