Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
677
Single Precision Score
668
Half Precision Score
666
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | January 16 2025 06:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G with Radeon Vega Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | conomie d'nergie |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
100% |
395
73.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
99% |
413
6.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
754
0.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
766
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (Q)
|
87% |
430
34.5 IPS |
|
|
Face Detection (SP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
1248
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1092
8.41 IPS |
|
|
Depth Estimation (HP)
|
100% |
998
7.69 IPS |
|
|
Depth Estimation (Q)
|
79% |
964
7.65 IPS |
|
|
Style Transfer (SP)
|
100% |
2268
2.92 IPS |
|
|
Style Transfer (HP)
|
100% |
2294
2.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2315
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
484
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
342
456.8 IPS |
|
|
Text Classification (HP)
|
100% |
440
587.2 IPS |
|
|
Text Classification (Q)
|
91% |
331
445.3 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
90% |
718
12.5 IPS |
