MSI MS-7681
Geekbench AI Score
1153
Single Precision Score
616
Half Precision Score
970
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 31 2025 06:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3470 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | MSI MS-7681 |
| Motherboard | MSI P67A-GD65 (MS-7681) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3470 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
824
153.3 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
96% |
764
142.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
595
9.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
1654
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1279
1.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
1497
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
793
62.9 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.9 IPS |
|
|
Object Detection (Q)
|
58% |
542
59.3 IPS |
|
|
Face Detection (SP)
|
100% |
1818
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
748
8.88 IPS |
|
|
Face Detection (Q)
|
96% |
1669
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2110
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
920
7.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
1725
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3967
5.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3250
4.18 IPS |
|
|
Style Transfer (Q)
|
87% |
3347
4.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
711
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
753
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
643
857.9 IPS |
|
|
Text Classification (HP)
|
100% |
346
462.4 IPS |
|
|
Text Classification (Q)
|
97% |
315
422.6 IPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.33 IPS |
|
|
Machine Translation (Q)
|
68% |
882
17.0 IPS |
