| Upload Date | August 16 2024 07:50 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| 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% |
2402
446.7 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
97% |
3954
737.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
2267
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7576
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
6036
7.04 IPS |
|
|
Pose Estimation (Q)
|
87% |
13766
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2869
227.6 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
86% |
2440
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
6792
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.27 IPS |
|
|
Face Detection (Q)
|
96% |
6088
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9059
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1117
8.60 IPS |
|
|
Depth Estimation (Q)
|
76% |
8152
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18542
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14761
19.0 IPS |
|
|
Style Transfer (Q)
|
87% |
20429
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3187
117.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3562
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
1637
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
425
569.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2360
52.6 IPS |