Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
9546
Single Precision Score
9955
Half Precision Score
15152
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sure |
| Upload Date | April 01 2025 06:34 PM |
| Views | 4 |
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% |
6122
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
7028
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9693
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8189
132.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3887
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14749
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34516
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
74758
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
5734
454.8 IPS |
|
|
Object Detection (HP)
|
100% |
6124
485.8 IPS |
|
|
Object Detection (Q)
|
87% |
9870
792.1 IPS |
|
|
Face Detection (SP)
|
100% |
16664
198.0 IPS |
|
|
Face Detection (HP)
|
100% |
17400
206.7 IPS |
|
|
Face Detection (Q)
|
100% |
31713
376.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14920
114.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18639
143.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34863
271.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41566
53.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52934
68.0 IPS |
|
|
Style Transfer (Q)
|
98% |
95901
123.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8882
328.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14157
522.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23152
857.4 IPS |
|
|
Text Classification (SP)
|
100% |
4334
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2058
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
2070
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4448
76.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4516
77.8 IPS |
