MSI MS-7751
Geekbench AI Score
273
Single Precision Score
272
Half Precision Score
455
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 07 2026 12:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Pentium(R) CPU G645 @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7751 |
| Motherboard | MSI Z77A-GD65 (MS-7751) |
| Power Plan | AMD Ryzen [Zen4] Ultimate HighPower 11-v5 |
| CPU Information | |
|---|---|
| Name | Intel Pentium G645 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
178
33.2 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.2 IPS |
|
|
Image Classification (Q)
|
100% |
304
56.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
348
5.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
636
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.4 IPS |
|
|
Object Detection (Q)
|
87% |
305
24.5 IPS |
|
|
Face Detection (SP)
|
100% |
530
6.29 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (Q)
|
97% |
831
9.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
415
3.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
416
3.20 IPS |
|
|
Depth Estimation (Q)
|
81% |
777
6.14 IPS |
|
|
Style Transfer (SP)
|
100% |
718
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
671
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
1904
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
186
6.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.87 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
383
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
205
273.7 IPS |
|
|
Text Classification (HP)
|
100% |
206
275.5 IPS |
|
|
Text Classification (Q)
|
91% |
196
264.1 IPS |
|
|
Machine Translation (SP)
|
100% |
205
3.54 IPS |
|
|
Machine Translation (HP)
|
100% |
205
3.53 IPS |
|
|
Machine Translation (Q)
|
100% |
205
3.53 IPS |
