Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
6502
Single Precision Score
9874
Half Precision Score
15148
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 07:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E41 |
| Motherboard | Micro-Star International Co., Ltd. PRO B860-P (MS-7E41) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
4120
766.2 IPS |
|
|
Image Classification (HP)
|
100% |
7167
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10007
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5124
83.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3953
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7792
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
34616
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
74863
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
3651
289.6 IPS |
|
|
Object Detection (HP)
|
100% |
6174
489.7 IPS |
|
|
Object Detection (Q)
|
87% |
9836
789.4 IPS |
|
|
Face Detection (SP)
|
100% |
10716
127.3 IPS |
|
|
Face Detection (HP)
|
100% |
16541
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
31016
368.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9536
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17637
135.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
33531
260.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22841
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50196
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93354
120.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4834
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14033
518.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23518
871.0 IPS |
|
|
Text Classification (SP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2100
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5118
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4503
77.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4556
78.5 IPS |
