MSI MS-7721
Geekbench AI Score
86
Single Precision Score
86
Half Precision Score
511
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | somata |
| Upload Date | October 03 2024 12:53 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD A10-7850K Radeon R7, 12 Compute Cores 4C+8G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7721 |
| Motherboard | MSI A78M-E45 (MS-7721) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD A10-7850K |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 21 Model 48 Stepping 1 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
164
30.6 IPS |
|
|
Image Classification (HP)
|
100% |
150
27.8 IPS |
|
|
Image Classification (Q)
|
100% |
326
60.7 IPS |
|
|
Image Segmentation (SP)
|
29% |
13
2.78 IPS |
|
|
Image Segmentation (HP)
|
29% |
13
2.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
258
4.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
304
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
307
0.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
725
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
87% |
369
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
464
5.51 IPS |
|
|
Face Detection (HP)
|
100% |
465
5.53 IPS |
|
|
Face Detection (Q)
|
97% |
942
11.2 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
3.29 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
3.29 IPS |
|
|
Depth Estimation (Q)
|
81% |
924
7.30 IPS |
|
|
Style Transfer (SP)
|
31% |
60
0.82 IPS |
|
|
Style Transfer (HP)
|
31% |
58
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
2050
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
185
6.85 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
436
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
212
282.8 IPS |
|
|
Text Classification (HP)
|
100% |
220
293.9 IPS |
|
|
Text Classification (Q)
|
91% |
315
422.7 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (HP)
|
100% |
224
3.85 IPS |
|
|
Machine Translation (Q)
|
100% |
221
3.80 IPS |
