Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
3492
Single Precision Score
4752
Half Precision Score
2486
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | werfree |
| Upload Date | January 19 2026 02:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2758
512.9 IPS |
|
|
Image Classification (HP)
|
100% |
3523
655.2 IPS |
|
|
Image Classification (Q)
|
99% |
1870
348.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4955
80.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1388
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8697
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12941
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
7471
8.75 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
99% |
3177
252.7 IPS |
|
|
Object Detection (Q)
|
85% |
1856
149.3 IPS |
|
|
Face Detection (SP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
5245
62.3 IPS |
|
|
Face Detection (Q)
|
97% |
3024
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7329
56.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13144
101.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5554
44.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24328
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30686
39.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18673
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2670
98.9 IPS |
|
|
Text Classification (SP)
|
86% |
794
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
694
926.8 IPS |
|
|
Text Classification (Q)
|
84% |
486
660.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
70% |
617
11.6 IPS |
