Micro-Star International Co., Ltd. MS-7D43
Geekbench AI Score
2060
Single Precision Score
3192
Half Precision Score
4580
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 29 2025 01:12 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% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (Q)
|
99% |
3037
566.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3357
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3753
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3104
3.62 IPS |
|
|
Pose Estimation (HP)
|
99% |
2612
3.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
8943
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1124
89.2 IPS |
|
|
Object Detection (HP)
|
99% |
1856
147.3 IPS |
|
|
Object Detection (Q)
|
90% |
3058
244.5 IPS |
|
|
Face Detection (SP)
|
100% |
4029
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
6556
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
7357
87.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3775
29.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6797
52.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
8643
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8773
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13218
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21914
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2620
96.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4643
172.0 IPS |
|
|
Text Classification (SP)
|
71% |
977
1.41 KIPS |
|
|
Text Classification (HP)
|
71% |
1157
1.67 KIPS |
|
|
Text Classification (Q)
|
92% |
1122
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1787
30.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1796
30.9 IPS |
