Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6703
Single Precision Score
2302
Half Precision Score
3380
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 31 2025 08:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
4065
755.9 IPS |
|
|
Image Classification (HP)
|
100% |
1604
298.3 IPS |
|
|
Image Classification (Q)
|
56% |
1503
420.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5379
87.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
859
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7932
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
7284
8.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
15988
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3861
306.3 IPS |
|
|
Object Detection (HP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (Q)
|
87% |
2321
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
11370
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
3914
46.5 IPS |
|
|
Face Detection (Q)
|
100% |
6831
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9979
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4533
34.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
8503
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23282
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12653
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22992
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3127
115.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5196
192.4 IPS |
|
|
Text Classification (SP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
538
718.6 IPS |
|
|
Text Classification (Q)
|
92% |
545
731.7 IPS |
|
|
Machine Translation (SP)
|
100% |
5181
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1075
18.5 IPS |
