Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
6116
Single Precision Score
10499
Half Precision Score
16181
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 09:53 AM |
| 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) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3910
727.0 IPS |
|
|
Image Classification (HP)
|
100% |
7442
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
10444
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4999
81.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7062
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
34329
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75600
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
3465
274.9 IPS |
|
|
Object Detection (HP)
|
100% |
6212
492.7 IPS |
|
|
Object Detection (Q)
|
88% |
10573
847.6 IPS |
|
|
Face Detection (SP)
|
100% |
10474
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
18985
225.6 IPS |
|
|
Face Detection (Q)
|
100% |
34182
406.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9166
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18881
145.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34893
271.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21423
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
55601
71.5 IPS |
|
|
Style Transfer (Q)
|
98% |
100174
129.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4497
166.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16333
603.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31858
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3882
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2284
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4266
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4901
84.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4940
85.1 IPS |
