Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
2031
Single Precision Score
3051
Half Precision Score
4425
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 01 2025 01:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 730 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E DDR4 (MS-7D48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1229
228.6 IPS |
|
|
Image Classification (HP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (Q)
|
99% |
2923
545.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3584
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2997
3.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
2521
2.94 IPS |
|
|
Pose Estimation (Q)
|
97% |
8640
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1138
90.3 IPS |
|
|
Object Detection (HP)
|
99% |
1912
151.7 IPS |
|
|
Object Detection (Q)
|
90% |
3036
242.7 IPS |
|
|
Face Detection (SP)
|
100% |
3829
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
6428
76.4 IPS |
|
|
Face Detection (Q)
|
100% |
7698
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3771
29.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6607
51.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
8521
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8472
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12860
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21111
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2590
95.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4501
166.7 IPS |
|
|
Text Classification (SP)
|
71% |
951
1.38 KIPS |
|
|
Text Classification (HP)
|
71% |
1174
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
1254
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1343
23.1 IPS |
