Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
8721
Single Precision Score
9269
Half Precision Score
13990
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 08:52 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% |
4307
800.9 IPS |
|
|
Image Classification (HP)
|
100% |
6630
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9034
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7514
121.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2736
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3633
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15248
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34187
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
73551
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
5388
427.4 IPS |
|
|
Object Detection (HP)
|
100% |
5714
453.2 IPS |
|
|
Object Detection (Q)
|
87% |
8918
715.8 IPS |
|
|
Face Detection (SP)
|
100% |
15219
180.8 IPS |
|
|
Face Detection (HP)
|
100% |
15454
183.6 IPS |
|
|
Face Detection (Q)
|
100% |
27104
322.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14860
114.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17609
135.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32883
255.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43740
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49330
63.4 IPS |
|
|
Style Transfer (Q)
|
98% |
90688
116.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9074
335.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13963
515.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22917
848.7 IPS |
|
|
Text Classification (SP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2137
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2654
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3372
58.1 IPS |
