Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
131
Single Precision Score
129
Half Precision Score
196
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | October 29 2025 08:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Micro-Star International Co., Ltd. MS-7E41 |
| Motherboard | Micro-Star International Co., Ltd. B860 GAMING PLUS WIFI (MS-7E41) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
36
6.73 IPS |
|
|
Image Classification (HP)
|
100% |
36
6.67 IPS |
|
|
Image Classification (Q)
|
99% |
38
7.05 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
192
3.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
1368
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1365
1.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
1805
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
60
4.78 IPS |
|
|
Object Detection (HP)
|
100% |
58
4.61 IPS |
|
|
Object Detection (Q)
|
85% |
66
5.34 IPS |
|
|
Face Detection (SP)
|
100% |
276
3.28 IPS |
|
|
Face Detection (HP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (Q)
|
97% |
240
2.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
232
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
235
1.81 IPS |
|
|
Depth Estimation (Q)
|
63% |
194
1.81 IPS |
|
|
Style Transfer (SP)
|
100% |
2265
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
2218
2.85 IPS |
|
|
Style Transfer (Q)
|
98% |
3376
4.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
142
5.24 IPS |
|
|
Text Classification (SP)
|
100% |
7
9.36 IPS |
|
|
Text Classification (HP)
|
100% |
7
9.20 IPS |
|
|
Text Classification (Q)
|
92% |
8
10.3 IPS |
|
|
Machine Translation (SP)
|
100% |
17
0.30 IPS |
|
|
Machine Translation (HP)
|
100% |
17
0.30 IPS |
|
|
Machine Translation (Q)
|
58% |
558
13.1 IPS |
