AAEON MIX-Q870W1X16
Geekbench AI Score
5898
Single Precision Score
9574
Half Precision Score
14288
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 09:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4162
774.0 IPS |
|
|
Image Classification (HP)
|
100% |
6292
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8086
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4325
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9510
154.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12219
198.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12099
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11190
13.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
37898
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
3848
305.2 IPS |
|
|
Object Detection (HP)
|
100% |
6207
492.3 IPS |
|
|
Object Detection (Q)
|
88% |
9616
770.6 IPS |
|
|
Face Detection (SP)
|
100% |
8615
102.4 IPS |
|
|
Face Detection (HP)
|
100% |
17438
207.2 IPS |
|
|
Face Detection (Q)
|
100% |
26718
317.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13025
100.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
22977
177.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
26372
205.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30070
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41934
53.9 IPS |
|
|
Style Transfer (Q)
|
98% |
90258
116.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5309
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9608
354.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15624
578.6 IPS |
|
|
Text Classification (SP)
|
71% |
1556
2.25 KIPS |
|
|
Text Classification (HP)
|
71% |
2448
3.54 KIPS |
|
|
Text Classification (Q)
|
92% |
2528
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3940
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3922
67.8 IPS |
