AAEON MIX-Q870W1X16
Geekbench AI Score
9439
Single Precision Score
9696
Half Precision Score
16805
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 09:08 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-Q870W1X16 |
| Motherboard | AAEON MIX-Q870W1X16 |
| 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% |
6064
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6587
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
10726
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8384
135.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4540
73.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13526
219.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14191
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14145
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32500
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
5955
472.3 IPS |
|
|
Object Detection (HP)
|
100% |
6857
543.9 IPS |
|
|
Object Detection (Q)
|
88% |
11630
932.3 IPS |
|
|
Face Detection (SP)
|
100% |
17581
208.9 IPS |
|
|
Face Detection (HP)
|
100% |
19803
235.3 IPS |
|
|
Face Detection (Q)
|
100% |
31065
369.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15052
116.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17267
133.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
32623
253.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39496
50.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40350
51.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92346
119.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8476
313.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8577
316.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17633
653.0 IPS |
|
|
Text Classification (SP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
5754
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7260
125.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3451
59.4 IPS |
