AAEON MIX-Q870A1
Geekbench AI Score
9746
Single Precision Score
10021
Half Precision Score
15334
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 02:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | AAEON MIX-Q870A1 |
| Motherboard | AAEON MIX-Q870A1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6121
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
7138
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9772
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8927
144.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4007
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14780
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34531
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75859
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
5293
419.8 IPS |
|
|
Object Detection (HP)
|
100% |
6260
496.5 IPS |
|
|
Object Detection (Q)
|
87% |
10222
820.4 IPS |
|
|
Face Detection (SP)
|
100% |
18385
218.5 IPS |
|
|
Face Detection (HP)
|
100% |
16370
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
28004
332.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16049
123.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19419
149.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
35711
277.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42220
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53993
69.4 IPS |
|
|
Style Transfer (Q)
|
98% |
99540
128.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8695
321.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14602
539.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26139
968.0 IPS |
|
|
Text Classification (SP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2037
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2057
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4425
76.2 IPS |
