Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
6560
Single Precision Score
2503
Half Precision Score
11038
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 04:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E41 |
| Motherboard | Micro-Star International Co., Ltd. B860 GAMING PLUS WIFI (MS-7E41) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5275
981.0 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.6 IPS |
|
|
Image Classification (Q)
|
99% |
9905
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16082
261.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13418
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8049
9.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
44983
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
4628
367.1 IPS |
|
|
Object Detection (HP)
|
100% |
1128
89.5 IPS |
|
|
Object Detection (Q)
|
86% |
11456
920.7 IPS |
|
|
Face Detection (SP)
|
100% |
14095
167.5 IPS |
|
|
Face Detection (HP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
13225
157.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15473
119.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3609
27.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
21561
172.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29286
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19838
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26844
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3374
124.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7216
267.2 IPS |
|
|
Text Classification (SP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1574
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3037
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3762
75.6 IPS |
