| Upload Date | August 11 2024 08:40 PM |
| Views | 25 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3800XT 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800XT |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2368
440.4 IPS |
|
|
Image Classification (HP)
|
100% |
2501
465.1 IPS |
|
|
Image Classification (Q)
|
100% |
3046
566.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3069
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5866
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5844
6.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
7365
8.64 IPS |
|
|
Object Detection (SP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (HP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (Q)
|
87% |
2999
240.5 IPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
4536
53.9 IPS |
|
|
Face Detection (Q)
|
97% |
9402
112.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6222
47.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
6272
48.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
8170
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16436
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16488
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20818
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3300
121.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3296
121.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4204
155.7 IPS |
|
|
Text Classification (SP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (Q)
|
91% |
719
966.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2593
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2574
44.3 IPS |
|
|
Machine Translation (Q)
|
90% |
1609
28.0 IPS |