MSI MS-7751
Geekbench AI Score
270
Single Precision Score
268
Half Precision Score
448
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 17 2025 05:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Pentium(R) CPU G840 @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7751 |
| Motherboard | MSI Z77A-GD65 (MS-7751) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Pentium G840 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
100% |
293
54.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
623
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
87% |
300
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (HP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (Q)
|
97% |
819
9.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
409
3.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
409
3.15 IPS |
|
|
Depth Estimation (Q)
|
81% |
765
6.04 IPS |
|
|
Style Transfer (SP)
|
100% |
704
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
657
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1868
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
182
6.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
182
6.73 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
377
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.4 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.4 IPS |
|
|
Text Classification (Q)
|
91% |
192
258.3 IPS |
|
|
Machine Translation (SP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.59 IPS |
|
|
Machine Translation (Q)
|
100% |
207
3.56 IPS |
