Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
9224
Single Precision Score
560
Half Precision Score
938
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 08:07 PM |
| Views | 3 |
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% |
6048
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
406
75.6 IPS |
|
|
Image Classification (Q)
|
100% |
649
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7644
123.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
263
4.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
15223
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
1596
1.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
3877
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
5470
433.9 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.8 IPS |
|
|
Object Detection (Q)
|
87% |
613
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
15516
184.4 IPS |
|
|
Face Detection (HP)
|
100% |
840
9.98 IPS |
|
|
Face Detection (Q)
|
100% |
1768
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14970
115.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
954
7.35 IPS |
|
|
Depth Estimation (Q)
|
88% |
1816
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42200
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
2675
3.44 IPS |
|
|
Style Transfer (Q)
|
98% |
5299
6.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9014
332.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1433
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
4094
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
173
230.9 IPS |
|
|
Text Classification (Q)
|
92% |
182
245.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
100% |
296
5.09 IPS |
