AAEON MIX-Q870A1
Geekbench AI Score
5768
Single Precision Score
9428
Half Precision Score
14322
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 02:52 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-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% |
4011
746.0 IPS |
|
|
Image Classification (HP)
|
100% |
6209
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8162
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4171
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8971
145.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12010
194.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12138
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11284
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
37578
44.0 IPS |
|
|
Object Detection (SP)
|
100% |
3712
294.4 IPS |
|
|
Object Detection (HP)
|
100% |
6149
487.7 IPS |
|
|
Object Detection (Q)
|
88% |
9618
770.7 IPS |
|
|
Face Detection (SP)
|
100% |
8466
100.6 IPS |
|
|
Face Detection (HP)
|
100% |
17250
205.0 IPS |
|
|
Face Detection (Q)
|
100% |
26719
317.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12836
98.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
22359
172.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
26336
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30137
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
42046
54.1 IPS |
|
|
Style Transfer (Q)
|
98% |
89125
114.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5260
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9262
342.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15563
576.3 IPS |
|
|
Text Classification (SP)
|
71% |
1441
2.08 KIPS |
|
|
Text Classification (HP)
|
71% |
2440
3.53 KIPS |
|
|
Text Classification (Q)
|
92% |
2673
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3919
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3929
67.9 IPS |
