AYN Odin2
Geekbench AI Score
1865
Single Precision Score
3081
Half Precision Score
2863
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kyhwana2 |
| Upload Date | July 17 2025 07:49 AM |
| Views | 6 |
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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1125
209.3 IPS |
|
|
Image Classification (HP)
|
100% |
1782
331.3 IPS |
|
|
Image Classification (Q)
|
99% |
1673
312.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3892
63.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3784
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7998
9.33 IPS |
|
|
Pose Estimation (HP)
|
99% |
14662
17.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
14505
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1008
80.0 IPS |
|
|
Object Detection (HP)
|
99% |
1624
128.8 IPS |
|
|
Object Detection (Q)
|
85% |
1500
120.7 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7292
86.6 IPS |
|
|
Face Detection (Q)
|
97% |
6304
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4273
32.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6272
48.5 IPS |
|
|
Depth Estimation (Q)
|
65% |
5257
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10200
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22552
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22602
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2372
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3692
136.8 IPS |
|
|
Text Classification (SP)
|
35% |
55
532.0 IPS |
|
|
Text Classification (HP)
|
35% |
97
877.8 IPS |
|
|
Text Classification (Q)
|
35% |
94
858.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
97% |
1271
22.0 IPS |
|
|
Machine Translation (Q)
|
64% |
1035
21.3 IPS |
