MINIX Elite EU715-AI
Geekbench AI Score
4405
Single Precision Score
7010
Half Precision Score
3169
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Spektr48K |
| Upload Date | September 28 2025 06:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
4228
786.3 IPS |
|
|
Image Classification (Q)
|
100% |
1913
355.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6836
110.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2249
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12510
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18162
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10712
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
99% |
4805
382.2 IPS |
|
|
Object Detection (Q)
|
86% |
1984
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
3992
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7711
91.6 IPS |
|
|
Face Detection (Q)
|
97% |
3103
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9372
72.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
18550
143.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
7171
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38674
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
63019
81.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27918
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6802
251.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10268
379.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3665
135.7 IPS |
|
|
Text Classification (SP)
|
86% |
722
975.9 IPS |
|
|
Text Classification (HP)
|
99% |
615
821.5 IPS |
|
|
Text Classification (Q)
|
84% |
540
733.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (Q)
|
70% |
909
17.1 IPS |
