Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7308
Single Precision Score
10052
Half Precision Score
15505
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | werfree |
| Upload Date | January 19 2026 02:56 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. 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% |
4577
851.2 IPS |
|
|
Image Classification (HP)
|
100% |
6989
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9886
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5762
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2803
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3490
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8630
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34445
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
72550
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
4303
341.3 IPS |
|
|
Object Detection (HP)
|
100% |
6037
478.8 IPS |
|
|
Object Detection (Q)
|
88% |
10232
820.3 IPS |
|
|
Face Detection (SP)
|
100% |
12610
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
17927
213.0 IPS |
|
|
Face Detection (Q)
|
100% |
33507
398.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11045
85.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17512
134.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
32627
253.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25885
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
52191
67.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94521
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5386
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16089
594.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30235
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
4074
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2148
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5615
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4644
80.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4672
80.5 IPS |
