Google Pixel 8a
Geekbench ML Score
2667
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 10:26 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% |
251
46.9 IPS |
|
|
Image Classification (F16)
|
100% |
4864
910.2 IPS |
|
|
Image Classification (I8)
|
99% |
5799
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
308
5.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
8719
145.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
24342
406.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
379
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
30391
36.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
63715
77.2 IPS |
|
|
Object Detection (F32)
|
100% |
242
18.0 IPS |
|
|
Object Detection (F16)
|
100% |
3200
238.9 IPS |
|
|
Object Detection (I8)
|
65% |
3459
258.2 IPS |
|
|
Face Detection (F32)
|
100% |
599
7.12 IPS |
|
|
Face Detection (F16)
|
98% |
20062
238.5 IPS |
|
|
Face Detection (I8)
|
87% |
37085
440.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
531
4.12 IPS |
|
|
Depth Estimation (F16)
|
100% |
31509
244.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
52790
409.4 IPS |
|
|
Style Transfer (F32)
|
100% |
786
1.03 IPS |
|
|
Style Transfer (F16)
|
100% |
1844
2.43 IPS |
|
|
Style Transfer (I8)
|
28% |
3251
4.28 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
301
10.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10675
381.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
19268
688.1 IPS |
|
|
Text Classification (F32)
|
100% |
368
529.4 IPS |
|
|
Text Classification (F16)
|
100% |
942
1.35 KIPS |
|
|
Text Classification (I8)
|
94% |
1009
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
553
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
560
10.3 IPS |
|
|
Machine Translation (I8)
|
64% |
536
9.87 IPS |
