Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6797
Single Precision Score
10493
Half Precision Score
16225
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | pianohello |
| Upload Date | January 24 2026 07:46 PM |
| Views | 6 |
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 | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4368
812.3 IPS |
|
|
Image Classification (HP)
|
100% |
7398
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
10310
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5552
90.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3448
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7503
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
34219
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75254
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
3924
311.2 IPS |
|
|
Object Detection (HP)
|
100% |
6223
493.6 IPS |
|
|
Object Detection (Q)
|
88% |
10587
848.7 IPS |
|
|
Face Detection (SP)
|
100% |
11942
141.9 IPS |
|
|
Face Detection (HP)
|
100% |
18778
223.1 IPS |
|
|
Face Detection (Q)
|
100% |
34343
408.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10392
80.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18801
144.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34913
271.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24236
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55063
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
99690
128.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5012
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16267
600.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32424
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2326
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5020
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4859
83.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4953
85.3 IPS |
