Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
3827
Single Precision Score
1799
Half Precision Score
7038
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 12:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E42 |
| Motherboard | Micro-Star International Co., Ltd. PRO B860M-A WIFI (MS-7E42) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
613
113.9 IPS |
|
|
Image Classification (Q)
|
99% |
6717
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1712
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3246
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6529
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
5082
5.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
23220
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2865
227.3 IPS |
|
|
Object Detection (HP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (Q)
|
86% |
7022
564.3 IPS |
|
|
Face Detection (SP)
|
100% |
6622
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
9559
114.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8508
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2550
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15337
122.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15365
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12751
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19114
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2879
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2456
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4775
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
1738
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1762
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2393
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3560
71.5 IPS |
