Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6540
Single Precision Score
2381
Half Precision Score
3724
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 06:59 AM |
| Views | 1 |
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(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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4063
755.5 IPS |
|
|
Image Classification (HP)
|
100% |
1664
309.5 IPS |
|
|
Image Classification (Q)
|
100% |
2370
440.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5199
84.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
761
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7880
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
7427
8.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
15980
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3680
291.9 IPS |
|
|
Object Detection (HP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (Q)
|
88% |
2356
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
11303
134.3 IPS |
|
|
Face Detection (HP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
7940
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9890
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4578
35.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
8429
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23197
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13081
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23670
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3555
131.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7127
263.9 IPS |
|
|
Text Classification (SP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
554
739.9 IPS |
|
|
Text Classification (Q)
|
92% |
563
756.5 IPS |
|
|
Machine Translation (SP)
|
100% |
5167
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1170
20.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1190
20.5 IPS |
