Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
5952
Single Precision Score
10014
Half Precision Score
15181
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sure |
| Upload Date | April 10 2025 04:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E22 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 ACE (MS-7E22) |
| Power Plan | High performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5394
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
7134
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9841
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7131
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2945
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3934
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9071
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34652
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
74789
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
2771
219.8 IPS |
|
|
Object Detection (HP)
|
100% |
6092
483.2 IPS |
|
|
Object Detection (Q)
|
87% |
9805
786.9 IPS |
|
|
Face Detection (SP)
|
100% |
9050
107.5 IPS |
|
|
Face Detection (HP)
|
100% |
17216
204.6 IPS |
|
|
Face Detection (Q)
|
100% |
31102
369.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9765
75.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18689
144.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
34244
266.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24524
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52582
67.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96667
124.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4218
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14268
526.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23248
861.0 IPS |
|
|
Text Classification (SP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2149
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4453
76.7 IPS |
