MINIX Elite EU715-AI
Geekbench AI Score
2703
Single Precision Score
8811
Half Precision Score
13745
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | minerale |
| Upload Date | October 21 2025 08:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MINIX Elite EU715-AI |
| Motherboard | MINIX Elite EU715-AI |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
6223
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8754
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2489
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3142
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4264
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
30811
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
65947
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
5426
430.4 IPS |
|
|
Object Detection (Q)
|
88% |
9191
736.8 IPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
14772
175.5 IPS |
|
|
Face Detection (Q)
|
100% |
27986
332.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4186
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15667
120.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
28463
221.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11704
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
46937
60.3 IPS |
|
|
Style Transfer (Q)
|
98% |
85271
110.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13592
501.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27609
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1647
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
1860
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4015
69.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4139
71.3 IPS |
