Micro-Star International Co., Ltd. MS-7B78
Geekbench AI Score
316
Single Precision Score
316
Half Precision Score
336
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ViNsTeR777 |
| Upload Date | April 02 2025 07:36 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD A6-9500E RADEON R5, 6 COMPUTE CORES 2C+4G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B78 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PRO CARBON (MS-7B78) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD A6-9500E |
| Topology | 1 Processor, 2 Cores |
| Identifier | AuthenticAMD Family 21 Model 101 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.7 IPS |
|
|
Image Classification (Q)
|
100% |
204
38.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
160
2.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
388
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
87% |
202
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
502
5.96 IPS |
|
|
Face Detection (HP)
|
100% |
499
5.93 IPS |
|
|
Face Detection (Q)
|
97% |
545
6.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
488
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
487
3.75 IPS |
|
|
Depth Estimation (Q)
|
81% |
513
4.04 IPS |
|
|
Style Transfer (SP)
|
100% |
1014
1.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1026
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
1137
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
226
8.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
226
8.34 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
244
9.03 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.0 IPS |
|
|
Text Classification (HP)
|
100% |
259
345.0 IPS |
|
|
Text Classification (Q)
|
91% |
208
279.1 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
100% |
450
7.75 IPS |
