MINIX Elite EU715-AI
Geekbench AI Score
2900
Single Precision Score
8980
Half Precision Score
14010
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Spektr48K |
| Upload Date | September 21 2025 12:50 PM |
| Views | 8 |
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 | Equilibrado |
| 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% |
1317
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
6298
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8785
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4324
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
30292
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
64655
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
100% |
5466
433.6 IPS |
|
|
Object Detection (Q)
|
88% |
9244
741.1 IPS |
|
|
Face Detection (SP)
|
100% |
4615
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
15141
179.9 IPS |
|
|
Face Detection (Q)
|
100% |
29570
351.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4283
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16162
124.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
31096
242.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11777
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
47530
61.1 IPS |
|
|
Style Transfer (Q)
|
98% |
86732
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2237
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14264
526.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27758
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1907
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1922
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4228
72.8 IPS |
