Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
3406
Single Precision Score
3406
Half Precision Score
4922
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Birkin |
| Upload Date | September 07 2025 09:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10500E CPU @ 3.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z490 GAMING PLUS (MS-7C75) |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500E |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (HP)
|
100% |
2098
390.2 IPS |
|
|
Image Classification (Q)
|
100% |
3206
596.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3792
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4364
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4318
5.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
8540
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (Q)
|
87% |
3423
274.5 IPS |
|
|
Face Detection (SP)
|
100% |
3999
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (Q)
|
97% |
9088
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5611
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5694
43.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9154
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12749
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12416
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22969
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2566
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2560
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4739
175.6 IPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (Q)
|
91% |
822
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3159
54.4 IPS |
