| User | Liosnel |
| Upload Date | October 13 2024 05:35 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B550M DS3H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
1320
245.5 IPS |
|
|
Image Classification (Q)
|
100% |
2296
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2422
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3188
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3408
3.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
7501
8.80 IPS |
|
|
Object Detection (SP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (HP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (Q)
|
87% |
2381
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2146
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
6907
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3532
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3649
28.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
7112
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8977
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8942
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20019
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3080
114.1 IPS |
|
|
Text Classification (SP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1256
1.68 KIPS |
|
|
Text Classification (Q)
|
91% |
1012
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1511
26.0 IPS |