AAEON MIX-Q870A1
Geekbench AI Score
9794
Single Precision Score
9927
Half Precision Score
16998
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 02:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285 |
| 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% |
6178
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6946
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
10762
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8927
144.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4839
78.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13475
218.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14523
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14052
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32302
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
6397
507.4 IPS |
|
|
Object Detection (HP)
|
100% |
7416
588.2 IPS |
|
|
Object Detection (Q)
|
88% |
11914
955.0 IPS |
|
|
Face Detection (SP)
|
100% |
18882
224.4 IPS |
|
|
Face Detection (HP)
|
100% |
21338
253.5 IPS |
|
|
Face Detection (Q)
|
100% |
31204
370.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15926
122.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15361
118.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
32404
251.9 IPS |
|
|
Style Transfer (SP)
|
100% |
41908
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39029
50.2 IPS |
|
|
Style Transfer (Q)
|
98% |
94063
121.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8509
314.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9088
335.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17705
655.7 IPS |
|
|
Text Classification (SP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (Q)
|
92% |
5749
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4103
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7683
132.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3729
64.2 IPS |
