Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
6439
Single Precision Score
2277
Half Precision Score
9885
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 04:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E41 |
| Motherboard | Micro-Star International Co., Ltd. B860 GAMING PLUS WIFI (MS-7E41) |
| Power Plan | pikov vkon |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4887
908.8 IPS |
|
|
Image Classification (HP)
|
100% |
774
143.9 IPS |
|
|
Image Classification (Q)
|
99% |
8989
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4276
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13412
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7672
8.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
41570
48.7 IPS |
|
|
Object Detection (SP)
|
100% |
4336
343.9 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
86% |
11166
897.4 IPS |
|
|
Face Detection (SP)
|
100% |
13244
157.4 IPS |
|
|
Face Detection (HP)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
13188
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14394
110.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3252
25.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
22154
176.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29934
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18806
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27862
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4795
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3356
123.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6478
239.9 IPS |
|
|
Text Classification (SP)
|
100% |
2028
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1870
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3131
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5068
101.8 IPS |
