Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5967
Single Precision Score
2492
Half Precision Score
3814
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 10:45 PM |
| Views | 3 |
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 | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6387
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
1763
327.8 IPS |
|
|
Image Classification (Q)
|
100% |
2613
485.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5807
94.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
836
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8373
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
8177
9.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
17759
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2795
221.7 IPS |
|
|
Object Detection (HP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (Q)
|
87% |
2438
195.6 IPS |
|
|
Face Detection (SP)
|
100% |
9278
110.2 IPS |
|
|
Face Detection (HP)
|
100% |
4119
48.9 IPS |
|
|
Face Detection (Q)
|
100% |
7607
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7948
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4988
38.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
9180
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23184
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14349
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24614
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5859
217.0 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
542
723.0 IPS |
|
|
Text Classification (Q)
|
92% |
556
747.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3257
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1230
21.2 IPS |
