Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
10021
Single Precision Score
2151
Half Precision Score
3149
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Surinder |
| Upload Date | May 08 2025 07:06 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 | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6245
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (Q)
|
56% |
1394
389.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8557
138.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
849
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15217
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7200
8.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
15660
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
6333
502.4 IPS |
|
|
Object Detection (HP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (Q)
|
87% |
2139
171.6 IPS |
|
|
Face Detection (SP)
|
100% |
17044
202.5 IPS |
|
|
Face Detection (HP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (Q)
|
100% |
5906
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15563
119.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4384
33.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
8125
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42646
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12422
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22415
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9132
337.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2941
108.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4769
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
4470
5.97 KIPS |
|
|
Text Classification (HP)
|
100% |
490
654.4 IPS |
|
|
Text Classification (Q)
|
92% |
497
667.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4296
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
100% |
950
16.4 IPS |
