Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6002
Single Precision Score
2282
Half Precision Score
10129
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 06:33 AM |
| 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. PRO Z890-A WIFI (MS-7E32) |
| 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% |
4563
848.5 IPS |
|
|
Image Classification (HP)
|
100% |
661
122.9 IPS |
|
|
Image Classification (Q)
|
99% |
7921
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14741
239.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11975
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
36728
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
4307
341.6 IPS |
|
|
Object Detection (HP)
|
100% |
1037
82.3 IPS |
|
|
Object Detection (Q)
|
86% |
10670
857.5 IPS |
|
|
Face Detection (SP)
|
100% |
13114
155.8 IPS |
|
|
Face Detection (HP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
12243
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11595
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3233
24.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19764
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26395
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18897
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30774
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3043
112.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6539
242.1 IPS |
|
|
Text Classification (SP)
|
100% |
1826
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2881
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3375
67.8 IPS |
