Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
2476
Single Precision Score
1257
Half Precision Score
5187
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 08:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| 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 (MS-7D48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2259
420.1 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.4 IPS |
|
|
Image Classification (Q)
|
99% |
5286
986.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2374
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3636
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2651
3.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
14003
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
86% |
5232
420.4 IPS |
|
|
Face Detection (SP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
6391
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4210
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1660
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11029
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8080
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6882
8.85 IPS |
|
|
Style Transfer (Q)
|
98% |
14007
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3583
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1687
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2572
51.7 IPS |
