Google Pixel 6a
Geekbench ML Score
1582
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 10 2024 10:19 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 6a |
| Model ID | Google Pixel 6a |
| Motherboard | bluejay |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
221
41.4 IPS |
|
|
Image Classification (F16)
|
100% |
4228
791.1 IPS |
|
|
Image Classification (I8)
|
99% |
6875
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
280
4.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
3297
55.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2023
33.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
362
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
18910
22.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
45979
55.7 IPS |
|
|
Object Detection (F32)
|
100% |
226
16.8 IPS |
|
|
Object Detection (F16)
|
100% |
223
16.7 IPS |
|
|
Object Detection (I8)
|
61% |
626
46.8 IPS |
|
|
Face Detection (F32)
|
100% |
518
6.17 IPS |
|
|
Face Detection (F16)
|
97% |
9742
115.8 IPS |
|
|
Face Detection (I8)
|
87% |
18684
222.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
452
3.50 IPS |
|
|
Depth Estimation (F16)
|
100% |
21459
166.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
34800
269.9 IPS |
|
|
Style Transfer (F32)
|
100% |
735
0.97 IPS |
|
|
Style Transfer (F16)
|
100% |
1732
2.28 IPS |
|
|
Style Transfer (I8)
|
98% |
3361
4.42 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
240
8.58 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
240
8.56 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
14014
500.5 IPS |
|
|
Text Classification (F32)
|
100% |
304
436.3 IPS |
|
|
Text Classification (F16)
|
100% |
1338
1.92 KIPS |
|
|
Text Classification (I8)
|
94% |
1520
2.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
497
9.15 IPS |
|
|
Machine Translation (F16)
|
100% |
489
9.00 IPS |
|
|
Machine Translation (I8)
|
64% |
482
8.87 IPS |
