Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6753
Single Precision Score
4917
Half Precision Score
17014
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | pianohello |
| Upload Date | January 24 2026 07:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4398
817.9 IPS |
|
|
Image Classification (HP)
|
100% |
3279
609.9 IPS |
|
|
Image Classification (Q)
|
100% |
10455
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5262
85.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12144
196.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7354
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5015
5.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
32039
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3995
316.9 IPS |
|
|
Object Detection (HP)
|
100% |
3242
257.2 IPS |
|
|
Object Detection (Q)
|
88% |
11509
922.6 IPS |
|
|
Face Detection (SP)
|
100% |
12099
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
10166
120.8 IPS |
|
|
Face Detection (Q)
|
100% |
30116
357.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10083
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7736
59.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
30815
239.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24254
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15117
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
89523
115.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4976
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17594
651.6 IPS |
|
|
Text Classification (SP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
5763
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5018
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5438
93.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5157
88.8 IPS |
