MSI MS-7681
Geekbench AI Score
523
Single Precision Score
321
Half Precision Score
463
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 05 2025 06:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-3220 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | MSI MS-7681 |
| Motherboard | MSI P67A-GD65 (MS-7681) |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3220 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
350
65.2 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
96% |
345
64.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
293
4.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
499
0.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
610
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
58% |
237
25.9 IPS |
|
|
Face Detection (SP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
446
5.29 IPS |
|
|
Face Detection (Q)
|
96% |
796
9.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
804
6.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
471
3.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
719
5.72 IPS |
|
|
Style Transfer (SP)
|
100% |
1507
1.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1245
1.60 IPS |
|
|
Style Transfer (Q)
|
87% |
1452
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
345
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.6 IPS |
|
|
Text Classification (HP)
|
100% |
218
290.8 IPS |
|
|
Text Classification (Q)
|
97% |
216
290.0 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (Q)
|
68% |
509
9.84 IPS |
