Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6913
Single Precision Score
2622
Half Precision Score
11777
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 10:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| 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 | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| 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% |
5544
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
883
164.3 IPS |
|
|
Image Classification (Q)
|
99% |
9921
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16445
267.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14225
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8214
9.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
43168
50.6 IPS |
|
|
Object Detection (SP)
|
100% |
5202
412.6 IPS |
|
|
Object Detection (HP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (Q)
|
86% |
12029
966.7 IPS |
|
|
Face Detection (SP)
|
100% |
15009
178.3 IPS |
|
|
Face Detection (HP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
13467
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15547
119.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3518
27.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
25664
204.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29326
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21328
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33836
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7173
265.6 IPS |
|
|
Text Classification (SP)
|
100% |
2050
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1656
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4364
87.7 IPS |
