Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6923
Single Precision Score
2301
Half Precision Score
3530
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4148
771.3 IPS |
|
|
Image Classification (HP)
|
100% |
1637
304.4 IPS |
|
|
Image Classification (Q)
|
100% |
2285
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5604
90.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
839
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8264
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
7334
8.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
15938
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3952
313.4 IPS |
|
|
Object Detection (HP)
|
100% |
1352
107.3 IPS |
|
|
Object Detection (Q)
|
87% |
2224
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
11905
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
3842
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
7323
87.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10342
79.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4594
35.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
8361
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24540
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12606
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22886
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3127
115.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5292
196.0 IPS |
|
|
Text Classification (SP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
535
714.4 IPS |
|
|
Text Classification (Q)
|
92% |
540
726.0 IPS |
|
|
Machine Translation (SP)
|
100% |
5398
93.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1105
19.0 IPS |
