MSI MS-7640
Geekbench AI Score
290
Single Precision Score
206
Half Precision Score
381
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 17 2024 02:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-8320E |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MSI MS-7640 |
| Motherboard | MSI 990XA-GD55 (MS-7640) |
| CPU Information | |
|---|---|
| Name | AMD FX-8320E |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (HP)
|
100% |
86
16.0 IPS |
|
|
Image Classification (Q)
|
96% |
326
60.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
325
5.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
402
0.47 IPS |
|
|
Pose Estimation (Q)
|
87% |
798
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.01 IPS |
|
|
Object Detection (Q)
|
90% |
216
17.3 IPS |
|
|
Face Detection (SP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (HP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (Q)
|
96% |
552
6.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
490
3.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
318
2.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
529
4.22 IPS |
|
|
Style Transfer (SP)
|
100% |
1139
1.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1073
1.38 IPS |
|
|
Style Transfer (Q)
|
87% |
1477
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
334
12.4 IPS |
|
|
Text Classification (SP)
|
100% |
209
278.5 IPS |
|
|
Text Classification (HP)
|
100% |
130
173.5 IPS |
|
|
Text Classification (Q)
|
97% |
118
158.2 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (Q)
|
60% |
212
4.73 IPS |
