MSI MS-7751
Geekbench AI Score
775
Single Precision Score
774
Half Precision Score
1182
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 08 2026 11:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3550 CPU @ 3.30GHz |
| 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 Core i5-3550 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
419
77.9 IPS |
|
|
Image Classification (HP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (Q)
|
100% |
798
148.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
870
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
799
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
796
0.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
1719
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
87% |
804
64.5 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
2167
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1432
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1443
11.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
2088
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2196
2.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2201
2.83 IPS |
|
|
Style Transfer (Q)
|
98% |
5097
6.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
662
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1033
38.3 IPS |
|
|
Text Classification (SP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
91% |
460
618.3 IPS |
|
|
Machine Translation (SP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (Q)
|
100% |
509
8.77 IPS |
