Google Pixel 6a
Geekbench ML Score
1266
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 23 2024 09:28 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% |
185
34.5 IPS |
|
|
Image Classification (F16)
|
100% |
3518
658.3 IPS |
|
|
Image Classification (I8)
|
99% |
6027
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
222
3.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
2853
47.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1759
29.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
275
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
15304
18.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
37759
45.7 IPS |
|
|
Object Detection (F32)
|
100% |
184
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
174
13.0 IPS |
|
|
Object Detection (I8)
|
61% |
495
36.9 IPS |
|
|
Face Detection (F32)
|
100% |
406
4.83 IPS |
|
|
Face Detection (F16)
|
97% |
8264
98.3 IPS |
|
|
Face Detection (I8)
|
87% |
15561
185.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
368
2.85 IPS |
|
|
Depth Estimation (F16)
|
100% |
16489
127.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
28411
220.3 IPS |
|
|
Style Transfer (F32)
|
100% |
594
0.78 IPS |
|
|
Style Transfer (F16)
|
100% |
1287
1.69 IPS |
|
|
Style Transfer (I8)
|
98% |
2392
3.15 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
169
6.02 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
194
6.93 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
11804
421.6 IPS |
|
|
Text Classification (F32)
|
100% |
232
332.7 IPS |
|
|
Text Classification (F16)
|
100% |
1183
1.70 KIPS |
|
|
Text Classification (I8)
|
94% |
1397
2.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
415
7.64 IPS |
|
|
Machine Translation (F16)
|
100% |
334
6.15 IPS |
|
|
Machine Translation (I8)
|
64% |
319
5.88 IPS |
