Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6184
Single Precision Score
2388
Half Precision Score
3730
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 08:42 PM |
| Views | 5 |
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% |
4088
760.2 IPS |
|
|
Image Classification (HP)
|
100% |
1670
310.6 IPS |
|
|
Image Classification (Q)
|
100% |
2375
441.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5064
82.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
760
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7405
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
7428
8.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
15976
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3460
274.5 IPS |
|
|
Object Detection (HP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (Q)
|
88% |
2353
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
9646
114.6 IPS |
|
|
Face Detection (HP)
|
100% |
4097
48.7 IPS |
|
|
Face Detection (Q)
|
100% |
7936
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8495
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4570
35.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
8439
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23346
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13087
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23676
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4454
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7160
265.2 IPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
564
752.3 IPS |
|
|
Text Classification (Q)
|
92% |
569
764.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4917
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1191
20.5 IPS |
