MSI MS-7721
Geekbench AI Score
226
Single Precision Score
141
Half Precision Score
303
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | somata |
| Upload Date | August 21 2024 04:37 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A10-7850K |
| 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% |
123
22.9 IPS |
|
|
Image Classification (HP)
|
100% |
46
8.64 IPS |
|
|
Image Classification (Q)
|
96% |
225
42.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
72
1.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
64
1.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
210
3.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
515
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.66 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.53 IPS |
|
|
Object Detection (Q)
|
90% |
174
13.9 IPS |
|
|
Face Detection (SP)
|
100% |
260
3.09 IPS |
|
|
Face Detection (HP)
|
100% |
102
1.21 IPS |
|
|
Face Detection (Q)
|
96% |
466
5.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
419
3.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
225
1.73 IPS |
|
|
Depth Estimation (Q)
|
76% |
445
3.58 IPS |
|
|
Style Transfer (SP)
|
100% |
949
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
900
1.16 IPS |
|
|
Style Transfer (Q)
|
87% |
1170
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
176
6.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
173
6.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
270
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
209
279.5 IPS |
|
|
Text Classification (HP)
|
100% |
136
182.0 IPS |
|
|
Text Classification (Q)
|
97% |
136
182.7 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
135
2.33 IPS |
|
|
Machine Translation (Q)
|
60% |
174
3.88 IPS |
