Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
6362
Single Precision Score
2300
Half Precision Score
9808
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 07:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
5111
950.6 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.4 IPS |
|
|
Image Classification (Q)
|
99% |
9920
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2557
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4635
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13077
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7394
8.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
38531
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
4576
363.0 IPS |
|
|
Object Detection (HP)
|
100% |
1037
82.3 IPS |
|
|
Object Detection (Q)
|
86% |
10988
883.1 IPS |
|
|
Face Detection (SP)
|
100% |
12098
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
13222
157.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14636
112.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3251
25.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
23197
185.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29407
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19513
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23797
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3121
115.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6570
243.3 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1124
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4955
99.6 IPS |
