Google Pixel 8a
Geekbench ML Score
2718
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 10:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.40 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
257
48.1 IPS |
|
|
Image Classification (F16)
|
100% |
5184
970.1 IPS |
|
|
Image Classification (I8)
|
99% |
6928
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
275
4.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
8845
147.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
24323
406.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
363
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
31524
38.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
63007
76.3 IPS |
|
|
Object Detection (F32)
|
100% |
261
19.5 IPS |
|
|
Object Detection (F16)
|
100% |
3073
229.4 IPS |
|
|
Object Detection (I8)
|
65% |
3451
257.6 IPS |
|
|
Face Detection (F32)
|
100% |
577
6.87 IPS |
|
|
Face Detection (F16)
|
98% |
20621
245.2 IPS |
|
|
Face Detection (I8)
|
87% |
39294
467.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
533
4.13 IPS |
|
|
Depth Estimation (F16)
|
100% |
34348
266.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
54750
424.6 IPS |
|
|
Style Transfer (F32)
|
100% |
786
1.03 IPS |
|
|
Style Transfer (F16)
|
100% |
1897
2.49 IPS |
|
|
Style Transfer (I8)
|
28% |
3353
4.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
305
10.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10762
384.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
18585
663.7 IPS |
|
|
Text Classification (F32)
|
100% |
377
541.7 IPS |
|
|
Text Classification (F16)
|
100% |
1002
1.44 KIPS |
|
|
Text Classification (I8)
|
94% |
1008
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
572
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
563
10.4 IPS |
|
|
Machine Translation (I8)
|
64% |
563
10.4 IPS |
