MSI MS-7751
Geekbench AI Score
270
Single Precision Score
182
Half Precision Score
361
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 17 2025 05:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G840 |
| 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% |
167
31.0 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.0 IPS |
|
|
Image Classification (Q)
|
96% |
267
49.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
229
3.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
502
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
100
7.92 IPS |
|
|
Object Detection (Q)
|
58% |
190
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
475
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
257
3.06 IPS |
|
|
Face Detection (Q)
|
96% |
586
6.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
415
3.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
270
2.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
581
4.62 IPS |
|
|
Style Transfer (SP)
|
100% |
816
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
718
0.92 IPS |
|
|
Style Transfer (Q)
|
87% |
1065
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
288
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
183
243.8 IPS |
|
|
Text Classification (HP)
|
100% |
129
171.7 IPS |
|
|
Text Classification (Q)
|
97% |
168
225.6 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
146
2.52 IPS |
|
|
Machine Translation (Q)
|
68% |
373
7.20 IPS |
