Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
6764
Single Precision Score
10024
Half Precision Score
15631
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 03:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 7 265F |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4171
775.7 IPS |
|
|
Image Classification (HP)
|
100% |
6962
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
10084
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5363
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8054
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
34692
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73498
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
3937
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
5947
471.7 IPS |
|
|
Object Detection (Q)
|
88% |
10233
820.4 IPS |
|
|
Face Detection (SP)
|
100% |
11763
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
17280
205.3 IPS |
|
|
Face Detection (Q)
|
100% |
33281
395.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10199
78.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17749
136.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33107
257.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24231
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52689
67.7 IPS |
|
|
Style Transfer (Q)
|
98% |
94315
121.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5106
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15714
580.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32079
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3794
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5020
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4444
76.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4515
77.8 IPS |
