Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6852
Single Precision Score
10488
Half Precision Score
16229
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | pianohello |
| Upload Date | January 25 2026 07:08 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% |
4346
808.2 IPS |
|
|
Image Classification (HP)
|
100% |
7441
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
10525
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5691
92.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3455
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8361
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
34285
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75498
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
3741
296.7 IPS |
|
|
Object Detection (HP)
|
100% |
6216
493.0 IPS |
|
|
Object Detection (Q)
|
88% |
10568
847.2 IPS |
|
|
Face Detection (SP)
|
100% |
12437
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
19011
225.9 IPS |
|
|
Face Detection (Q)
|
100% |
34927
415.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10853
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19035
146.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34649
269.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24900
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
55515
71.4 IPS |
|
|
Style Transfer (Q)
|
98% |
100926
130.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16323
602.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32021
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4012
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2248
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5519
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4849
83.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4970
85.6 IPS |
