Google Pixel 6a
Geekbench ML Score
1303
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 03 2024 02:52 AM |
| Views | 1 |
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% |
182
34.0 IPS |
|
|
Image Classification (F16)
|
100% |
3538
662.1 IPS |
|
|
Image Classification (I8)
|
99% |
6058
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
222
3.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
2864
47.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1775
29.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
276
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
15349
18.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
36288
43.9 IPS |
|
|
Object Detection (F32)
|
100% |
183
13.6 IPS |
|
|
Object Detection (F16)
|
100% |
173
12.9 IPS |
|
|
Object Detection (I8)
|
61% |
535
40.0 IPS |
|
|
Face Detection (F32)
|
100% |
437
5.19 IPS |
|
|
Face Detection (F16)
|
97% |
8524
101.4 IPS |
|
|
Face Detection (I8)
|
87% |
15752
187.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
377
2.93 IPS |
|
|
Depth Estimation (F16)
|
100% |
16259
126.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
28211
218.8 IPS |
|
|
Style Transfer (F32)
|
100% |
608
0.80 IPS |
|
|
Style Transfer (F16)
|
100% |
1492
1.96 IPS |
|
|
Style Transfer (I8)
|
98% |
2925
3.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
194
6.94 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
196
7.01 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
11598
414.2 IPS |
|
|
Text Classification (F32)
|
100% |
230
331.1 IPS |
|
|
Text Classification (F16)
|
100% |
1228
1.76 KIPS |
|
|
Text Classification (I8)
|
94% |
1376
1.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
412
7.58 IPS |
|
|
Machine Translation (F16)
|
100% |
351
6.46 IPS |
|
|
Machine Translation (I8)
|
64% |
374
6.89 IPS |
