Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
5147
Single Precision Score
9792
Half Precision Score
14884
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 01 2026 03:24 PM |
| Views | 2 |
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 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3153
586.3 IPS |
|
|
Image Classification (HP)
|
100% |
6691
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9388
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3795
61.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5863
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
33841
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74046
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
3000
237.9 IPS |
|
|
Object Detection (HP)
|
100% |
5854
464.3 IPS |
|
|
Object Detection (Q)
|
88% |
9882
792.2 IPS |
|
|
Face Detection (SP)
|
100% |
8630
102.5 IPS |
|
|
Face Detection (HP)
|
100% |
17090
203.1 IPS |
|
|
Face Detection (Q)
|
100% |
32132
381.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7914
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18340
141.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34286
266.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17667
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54383
69.9 IPS |
|
|
Style Transfer (Q)
|
98% |
97994
126.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16004
590.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30289
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3090
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1954
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1725
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4490
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4051
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4021
69.3 IPS |
