AYN Odin2
Geekbench AI Score
284
Single Precision Score
284
Half Precision Score
648
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kyhwana2 |
| Upload Date | July 17 2025 08:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
164
30.4 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.6 IPS |
|
|
Image Classification (Q)
|
99% |
426
79.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
446
7.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1121
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
87% |
462
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (HP)
|
100% |
460
5.47 IPS |
|
|
Face Detection (Q)
|
97% |
956
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
384
2.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
385
2.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
903
8.20 IPS |
|
|
Style Transfer (SP)
|
100% |
686
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1901
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
187
6.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.0 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.2 IPS |
|
|
Text Classification (Q)
|
91% |
376
505.1 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
57% |
338
8.27 IPS |
