MSI MS-7681
Geekbench AI Score
678
Single Precision Score
425
Half Precision Score
778
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 07 2025 10:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | MSI MS-7681 |
| Motherboard | MSI P67A-GD65 (MS-7681) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
544
101.1 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (Q)
|
96% |
611
114.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
492
8.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
829
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
741
0.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
1102
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (Q)
|
58% |
413
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
586
6.96 IPS |
|
|
Face Detection (Q)
|
96% |
1351
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1070
8.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
613
4.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
1344
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2095
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
1884
2.42 IPS |
|
|
Style Transfer (Q)
|
87% |
2692
3.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
573
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.8 IPS |
|
|
Text Classification (HP)
|
100% |
268
357.1 IPS |
|
|
Text Classification (Q)
|
97% |
270
361.5 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
68% |
789
15.3 IPS |
