MINIX Elite EU715-AI
Geekbench AI Score
6871
Single Precision Score
11042
Half Precision Score
16422
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Spektr48K |
| Upload Date | September 21 2025 12:48 PM |
| Views | 9 |
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 | 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% |
4956
921.7 IPS |
|
|
Image Classification (HP)
|
100% |
7262
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
8719
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4226
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10467
169.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14814
240.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18265
21.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
17390
20.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
57394
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
4527
359.1 IPS |
|
|
Object Detection (HP)
|
100% |
7573
600.7 IPS |
|
|
Object Detection (Q)
|
88% |
11089
888.7 IPS |
|
|
Face Detection (SP)
|
100% |
8316
98.8 IPS |
|
|
Face Detection (HP)
|
100% |
17223
204.6 IPS |
|
|
Face Detection (Q)
|
100% |
28127
334.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16327
125.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
28314
218.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
31916
248.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43530
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
57613
74.1 IPS |
|
|
Style Transfer (Q)
|
98% |
137261
177.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7430
274.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12550
463.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18613
689.3 IPS |
|
|
Text Classification (SP)
|
71% |
1376
1.99 KIPS |
|
|
Text Classification (HP)
|
71% |
2170
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
2136
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3520
60.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3543
61.2 IPS |
