Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
1167
Single Precision Score
655
Half Precision Score
1035
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | janne77 |
| Upload Date | January 09 2025 04:39 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 2200G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS (MS-7B86) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 2200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 3.74 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
886
164.8 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
96% |
808
150.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
672
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1616
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1402
1.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
1553
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
829
65.7 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.2 IPS |
|
|
Object Detection (Q)
|
58% |
555
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
96% |
2102
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2210
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1004
7.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
1973
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4160
5.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3621
4.66 IPS |
|
|
Style Transfer (Q)
|
87% |
3733
4.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
763
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.9 IPS |
|
|
Text Classification (Q)
|
97% |
291
389.8 IPS |
|
|
Machine Translation (SP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (Q)
|
68% |
882
17.0 IPS |
