Micro-Star International Co., Ltd. MS-7D43
Geekbench AI Score
2028
Single Precision Score
3133
Half Precision Score
4587
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | dunddd |
| Upload Date | July 29 2025 01:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 730 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D43 |
| Motherboard | Micro-Star International Co., Ltd. PRO B660M-A WIFI (MS-7D43) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1222
227.3 IPS |
|
|
Image Classification (HP)
|
100% |
2083
387.4 IPS |
|
|
Image Classification (Q)
|
99% |
3070
572.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3356
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3733
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3081
3.59 IPS |
|
|
Pose Estimation (HP)
|
99% |
2428
2.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
8865
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
99% |
1880
149.1 IPS |
|
|
Object Detection (Q)
|
90% |
3065
245.0 IPS |
|
|
Face Detection (SP)
|
100% |
3741
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
6594
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
7609
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3767
29.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6477
50.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
8198
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8473
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12563
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21977
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2628
97.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4500
166.7 IPS |
|
|
Text Classification (SP)
|
71% |
941
1.36 KIPS |
|
|
Text Classification (HP)
|
71% |
1166
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1197
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1741
30.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1794
30.9 IPS |
