Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6206
Single Precision Score
2388
Half Precision Score
3731
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 08:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-A WIFI (MS-7E32) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4146
771.1 IPS |
|
|
Image Classification (HP)
|
100% |
1667
310.0 IPS |
|
|
Image Classification (Q)
|
100% |
2360
438.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4942
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
760
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7471
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
7427
8.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
15976
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3471
275.3 IPS |
|
|
Object Detection (HP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (Q)
|
88% |
2379
190.7 IPS |
|
|
Face Detection (SP)
|
100% |
10234
121.6 IPS |
|
|
Face Detection (HP)
|
100% |
4102
48.7 IPS |
|
|
Face Detection (Q)
|
100% |
7939
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9174
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4571
35.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
8436
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21373
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13083
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23702
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4397
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3571
131.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7146
264.6 IPS |
|
|
Text Classification (SP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
565
753.8 IPS |
|
|
Text Classification (Q)
|
92% |
571
766.6 IPS |
|
|
Machine Translation (SP)
|
100% |
4656
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1186
20.4 IPS |
