AYN Odin2
Geekbench AI Score
1934
Single Precision Score
3206
Half Precision Score
2971
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 05:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | AYN Odin2 |
| Model ID | AYN Odin2 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1176
218.7 IPS |
|
|
Image Classification (HP)
|
100% |
1859
345.8 IPS |
|
|
Image Classification (Q)
|
99% |
1752
326.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4222
68.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3927
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8104
9.46 IPS |
|
|
Pose Estimation (HP)
|
99% |
14995
17.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
14760
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (HP)
|
99% |
1720
136.4 IPS |
|
|
Object Detection (Q)
|
85% |
1659
133.4 IPS |
|
|
Face Detection (SP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7665
91.1 IPS |
|
|
Face Detection (Q)
|
97% |
6535
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4343
33.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6422
49.6 IPS |
|
|
Depth Estimation (Q)
|
65% |
5405
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10493
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22978
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22587
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2404
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3950
146.4 IPS |
|
|
Text Classification (SP)
|
35% |
59
569.8 IPS |
|
|
Text Classification (HP)
|
35% |
98
893.6 IPS |
|
|
Text Classification (Q)
|
35% |
97
878.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
97% |
1270
22.0 IPS |
|
|
Machine Translation (Q)
|
64% |
1043
21.4 IPS |
