AAEON MIX-Q870W1X16
Geekbench AI Score
9573
Single Precision Score
10083
Half Precision Score
15434
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 09:06 AM |
| Views | 3 |
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-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% |
6006
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
7012
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9734
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8551
138.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4010
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14153
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34496
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75786
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
5990
475.1 IPS |
|
|
Object Detection (HP)
|
100% |
6240
495.0 IPS |
|
|
Object Detection (Q)
|
87% |
10169
816.1 IPS |
|
|
Face Detection (SP)
|
100% |
17578
208.9 IPS |
|
|
Face Detection (HP)
|
100% |
16333
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
27912
331.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15057
116.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19384
149.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
35714
277.9 IPS |
|
|
Style Transfer (SP)
|
100% |
40156
51.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53833
69.2 IPS |
|
|
Style Transfer (Q)
|
98% |
99242
128.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8871
327.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14547
537.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26010
963.3 IPS |
|
|
Text Classification (SP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2213
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3881
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4459
76.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4479
77.2 IPS |
