Amlogic anemone
Geekbench AI Score
372
Single Precision Score
364
Half Precision Score
159
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 24 2024 05:56 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Amlogic anemone |
| Model ID | Amlogic anemone |
| Motherboard | anemone |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 1 |
| Base Frequency | 1.86 GHz |
| Cluster 1 | 5 Cores @ 1.86 GHz |
| Memory Information | |
|---|---|
| Size | 7.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (Q)
|
97% |
1308
244.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
99% |
1930
2.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
1930
2.25 IPS |
|
|
Pose Estimation (Q)
|
0
|
||
|
Object Detection (SP)
|
99% |
263
20.8 IPS |
|
|
Object Detection (HP)
|
99% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
84% |
621
50.1 IPS |
|
|
Face Detection (SP)
|
100% |
888
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
890
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
3417
40.7 IPS |
|
|
Depth Estimation (SP)
|
83% |
1243
9.76 IPS |
|
|
Depth Estimation (HP)
|
83% |
1265
9.93 IPS |
|
|
Depth Estimation (Q)
|
63% |
4984
46.2 IPS |
|
|
Style Transfer (SP)
|
52% |
1951
4.51 IPS |
|
|
Style Transfer (HP)
|
52% |
1941
4.49 IPS |
|
|
Style Transfer (Q)
|
0
|
||
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5429
201.2 IPS |
|
|
Text Classification (SP)
|
100% |
13
18.0 IPS |
|
|
Text Classification (HP)
|
100% |
13
17.9 IPS |
|
|
Text Classification (Q)
|
91% |
184
246.7 IPS |
|
|
Machine Translation (SP)
|
100% |
43
0.75 IPS |
|
|
Machine Translation (HP)
|
100% |
43
0.75 IPS |
|
|
Machine Translation (Q)
|
0
|
