| Upload Date | November 11 2025 11:45 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2368
440.3 IPS |
|
|
Image Classification (HP)
|
100% |
2509
466.6 IPS |
|
|
Image Classification (Q)
|
100% |
5130
954.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5710
92.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5450
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5456
6.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
13350
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (Q)
|
87% |
5046
404.7 IPS |
|
|
Face Detection (SP)
|
100% |
4778
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
4202
49.9 IPS |
|
|
Face Detection (Q)
|
97% |
14202
169.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6442
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6448
49.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
12885
101.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15493
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15345
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36507
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2970
109.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2968
109.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7586
281.0 IPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (Q)
|
91% |
1069
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2841
48.9 IPS |