Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
420
Single Precision Score
297
Half Precision Score
539
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 02 2025 10:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD PRO A10-9700 R7, 10 COMPUTE CORES 4C+6G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR TITANIUM (MS-7B89) |
| CPU Information | |
|---|---|
| Name | AMD PRO A10-9700 R7, 10 COMPUTE CORES 4C+6G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 21 Model 101 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
96% |
407
76.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
96
1.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
429
6.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
727
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
611
0.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
802
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
58% |
282
30.8 IPS |
|
|
Face Detection (SP)
|
100% |
543
6.45 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
96% |
1029
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
871
6.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
458
3.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
926
7.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1906
2.45 IPS |
|
|
Style Transfer (HP)
|
100% |
1740
2.24 IPS |
|
|
Style Transfer (Q)
|
87% |
1760
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
428
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.9 IPS |
|
|
Text Classification (HP)
|
100% |
187
249.2 IPS |
|
|
Text Classification (Q)
|
97% |
170
228.1 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.97 IPS |
|
|
Machine Translation (Q)
|
68% |
436
8.42 IPS |
