Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
4802
Single Precision Score
2116
Half Precision Score
9046
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 01:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3422
636.3 IPS |
|
|
Image Classification (HP)
|
100% |
776
144.3 IPS |
|
|
Image Classification (Q)
|
99% |
7348
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11741
190.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7535
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
5587
6.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
28418
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3281
260.3 IPS |
|
|
Object Detection (HP)
|
100% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
86% |
7887
633.9 IPS |
|
|
Face Detection (SP)
|
100% |
10044
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
2193
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
11073
132.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9646
74.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3034
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18521
147.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19283
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14498
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27886
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3445
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2498
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5814
215.3 IPS |
|
|
Text Classification (SP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
948
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1523
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2814
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3748
75.3 IPS |
