| User | bagaget |
| Upload Date | August 23 2024 10:46 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | AMD Ryzen Ultimate HighPower 11-v4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2620
487.2 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
97% |
4280
798.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2496
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
2432
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7936
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6220
7.26 IPS |
|
|
Pose Estimation (Q)
|
87% |
14416
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2997
237.7 IPS |
|
|
Object Detection (HP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (Q)
|
86% |
2591
208.3 IPS |
|
|
Face Detection (SP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (Q)
|
96% |
5255
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9277
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1201
9.26 IPS |
|
|
Depth Estimation (Q)
|
76% |
7959
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18732
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15630
20.1 IPS |
|
|
Style Transfer (Q)
|
87% |
20291
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3391
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3741
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
462
618.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2465
55.0 IPS |