MINIX Elite EU715-AI
Geekbench AI Score
6573
Single Precision Score
10700
Half Precision Score
16051
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | minerale |
| Upload Date | October 21 2025 08:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
4565
848.9 IPS |
|
|
Image Classification (HP)
|
100% |
6996
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
8566
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3665
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9667
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14523
235.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18947
22.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
17922
21.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
61263
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
4409
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
7349
583.0 IPS |
|
|
Object Detection (Q)
|
88% |
10614
850.6 IPS |
|
|
Face Detection (SP)
|
100% |
7473
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
15720
186.8 IPS |
|
|
Face Detection (Q)
|
100% |
25555
303.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15545
119.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
27218
210.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
32120
249.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43532
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56761
73.0 IPS |
|
|
Style Transfer (Q)
|
98% |
133584
172.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7246
267.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12691
468.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18147
672.1 IPS |
|
|
Text Classification (SP)
|
71% |
1395
2.02 KIPS |
|
|
Text Classification (HP)
|
71% |
2126
3.08 KIPS |
|
|
Text Classification (Q)
|
92% |
2088
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3371
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3378
58.4 IPS |
