Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5550
Single Precision Score
2029
Half Precision Score
9989
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 10 2025 08:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265 |
| 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 | Vyven |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5013
932.3 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (Q)
|
99% |
9696
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13340
216.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12695
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5072
5.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
34602
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3222
255.5 IPS |
|
|
Object Detection (HP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (Q)
|
86% |
10438
838.9 IPS |
|
|
Face Detection (SP)
|
100% |
11694
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
2023
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
12188
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11528
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2580
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19886
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24707
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14267
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26297
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2911
107.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6374
236.0 IPS |
|
|
Text Classification (SP)
|
100% |
1829
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1586
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2685
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3286
66.0 IPS |
