Micro-Star International Co., Ltd. MS-7E20
Geekbench AI Score
6260
Single Precision Score
8657
Half Precision Score
13798
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 12:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E20 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 UNIFY-X (MS-7E20) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4063
755.6 IPS |
|
|
Image Classification (HP)
|
100% |
5741
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
9100
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4976
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3531
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7993
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
33314
38.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
71161
83.4 IPS |
|
|
Object Detection (SP)
|
100% |
3823
303.2 IPS |
|
|
Object Detection (HP)
|
100% |
5093
404.0 IPS |
|
|
Object Detection (Q)
|
87% |
8887
713.3 IPS |
|
|
Face Detection (SP)
|
100% |
11598
137.8 IPS |
|
|
Face Detection (HP)
|
100% |
14389
171.0 IPS |
|
|
Face Detection (Q)
|
100% |
21786
258.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10394
80.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18773
144.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34722
270.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23835
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51031
65.6 IPS |
|
|
Style Transfer (Q)
|
98% |
97324
125.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4956
183.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13936
514.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24257
898.3 IPS |
|
|
Text Classification (SP)
|
100% |
4124
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2000
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2167
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2550
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2910
50.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3183
54.8 IPS |
