Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7236
Single Precision Score
10226
Half Precision Score
15988
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | werfree |
| Upload Date | January 20 2026 02:36 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. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4560
848.1 IPS |
|
|
Image Classification (HP)
|
100% |
7196
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10021
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5723
92.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2767
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3576
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8481
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
34715
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73309
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
4193
332.6 IPS |
|
|
Object Detection (HP)
|
100% |
6128
486.0 IPS |
|
|
Object Detection (Q)
|
88% |
10414
834.9 IPS |
|
|
Face Detection (SP)
|
100% |
12182
144.7 IPS |
|
|
Face Detection (HP)
|
100% |
17410
206.9 IPS |
|
|
Face Detection (Q)
|
100% |
33115
393.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10729
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17847
137.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
33308
259.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25667
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53122
68.3 IPS |
|
|
Style Transfer (Q)
|
98% |
95769
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5480
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16338
603.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32822
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2326
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2403
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5612
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4707
81.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4788
82.5 IPS |
