Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7260
Single Precision Score
5221
Half Precision Score
17772
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | werfree |
| Upload Date | January 19 2026 02:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4552
846.5 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.1 IPS |
|
|
Image Classification (Q)
|
100% |
11043
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5765
93.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2674
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13097
212.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8645
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5792
6.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
33367
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
4225
335.1 IPS |
|
|
Object Detection (HP)
|
100% |
3395
269.3 IPS |
|
|
Object Detection (Q)
|
88% |
12042
965.3 IPS |
|
|
Face Detection (SP)
|
100% |
12650
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
10342
122.9 IPS |
|
|
Face Detection (Q)
|
100% |
29951
355.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10845
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8192
63.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
32699
254.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25680
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16908
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
93915
121.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5425
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18035
667.9 IPS |
|
|
Text Classification (SP)
|
100% |
4026
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2667
3.56 KIPS |
|
|
Text Classification (Q)
|
92% |
5936
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5517
95.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5741
98.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5495
94.6 IPS |
