MINIX Elite EU715-AI
Geekbench AI Score
2897
Single Precision Score
1179
Half Precision Score
5596
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 09:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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% |
2303
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (Q)
|
99% |
4615
860.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6433
104.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5018
5.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3404
3.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
18240
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
86% |
4685
376.5 IPS |
|
|
Face Detection (SP)
|
100% |
6308
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
6556
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6256
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1666
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12142
96.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11768
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8212
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18194
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2030
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3618
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
1100
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
587
783.0 IPS |
|
|
Text Classification (Q)
|
97% |
1079
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2103
42.3 IPS |
