Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5911
Single Precision Score
9266
Half Precision Score
13913
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | werfree |
| Upload Date | January 20 2026 02:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4021
747.8 IPS |
|
|
Image Classification (HP)
|
100% |
6036
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7862
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3967
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9011
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11472
186.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12152
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11306
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
36972
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
3630
287.9 IPS |
|
|
Object Detection (HP)
|
100% |
5601
444.3 IPS |
|
|
Object Detection (Q)
|
88% |
9723
779.2 IPS |
|
|
Face Detection (SP)
|
100% |
8009
95.2 IPS |
|
|
Face Detection (HP)
|
100% |
16025
190.4 IPS |
|
|
Face Detection (Q)
|
100% |
25863
307.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12799
98.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
22401
173.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
25715
199.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31536
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38541
49.5 IPS |
|
|
Style Transfer (Q)
|
98% |
87251
112.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5308
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9386
346.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14919
552.5 IPS |
|
|
Text Classification (SP)
|
71% |
1609
2.33 KIPS |
|
|
Text Classification (HP)
|
71% |
2776
4.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2589
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2681
46.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3758
65.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3742
64.7 IPS |
