Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
6966
Single Precision Score
2470
Half Precision Score
10439
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 02:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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 | Balanced |
| 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% |
5431
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
816
151.8 IPS |
|
|
Image Classification (Q)
|
99% |
9956
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2672
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4993
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14828
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8366
9.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
46673
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
5043
400.0 IPS |
|
|
Object Detection (HP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
86% |
11315
909.3 IPS |
|
|
Face Detection (SP)
|
100% |
13441
159.7 IPS |
|
|
Face Detection (HP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
13096
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16726
128.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3550
27.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23979
191.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32893
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20789
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30539
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5349
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3141
116.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7011
259.6 IPS |
|
|
Text Classification (SP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1901
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3020
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4582
92.1 IPS |
