Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
9140
Single Precision Score
537
Half Precision Score
899
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 08:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| 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% |
6053
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
100% |
596
110.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7607
123.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
246
3.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
14914
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
1515
1.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
3519
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
5368
425.8 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
87% |
586
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
15667
186.2 IPS |
|
|
Face Detection (HP)
|
100% |
805
9.57 IPS |
|
|
Face Detection (Q)
|
100% |
1721
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14889
114.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
907
6.99 IPS |
|
|
Depth Estimation (Q)
|
88% |
1814
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42674
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
2584
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
5176
6.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9017
332.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
748
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1367
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
4123
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
166
222.2 IPS |
|
|
Text Classification (Q)
|
92% |
178
239.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
100% |
293
5.04 IPS |
