| User | Poltava |
| Upload Date | August 25 2024 09:35 PM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (Q)
|
97% |
3580
668.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
2418
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7702
8.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3688
4.30 IPS |
|
|
Pose Estimation (Q)
|
87% |
12110
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
2898
229.9 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
86% |
2548
204.8 IPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (Q)
|
96% |
4602
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9038
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.21 IPS |
|
|
Depth Estimation (Q)
|
76% |
6923
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18262
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12422
16.0 IPS |
|
|
Style Transfer (Q)
|
87% |
19676
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3737
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
2200
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
459
614.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2931
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (Q)
|
60% |
2473
55.2 IPS |