AAEON UPX-ARL01
Geekbench AI Score
8585
Single Precision Score
17122
Half Precision Score
21708
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 29 2025 07:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | AAEON UPX-ARL01 |
| Motherboard | AAEON UPX-ARL01 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 6.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6200
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
8396
1.56 KIPS |
|
|
Image Classification (Q)
|
100% |
12208
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6672
108.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16558
268.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18409
299.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19435
22.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
64691
75.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
124845
146.2 IPS |
|
|
Object Detection (SP)
|
100% |
4678
371.1 IPS |
|
|
Object Detection (HP)
|
100% |
9741
772.6 IPS |
|
|
Object Detection (Q)
|
88% |
12543
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
10040
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
20476
243.3 IPS |
|
|
Face Detection (Q)
|
100% |
28017
332.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15299
117.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
28380
218.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
39981
310.8 IPS |
|
|
Style Transfer (SP)
|
100% |
49226
63.3 IPS |
|
|
Style Transfer (HP)
|
100% |
111019
142.7 IPS |
|
|
Style Transfer (Q)
|
98% |
164580
212.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8825
325.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22079
815.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29775
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (Q)
|
92% |
2603
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2620
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4925
84.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4622
79.6 IPS |
