Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
2425
Single Precision Score
1251
Half Precision Score
5142
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 11:19 AM |
| Views | 2 |
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% |
1813
337.1 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
99% |
4966
926.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2556
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3360
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2937
3.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
14852
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1927
152.8 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
86% |
4944
397.3 IPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
6626
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4305
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1689
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10775
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8134
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7267
9.34 IPS |
|
|
Style Transfer (Q)
|
98% |
13963
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3466
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
1491
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1562
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2573
51.7 IPS |
