Google Pixel 8a
Geekbench AI Score
636
Single Precision Score
720
Half Precision Score
701
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | porina |
| Upload Date | August 15 2024 09:28 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.1 IPS |
|
|
Image Classification (Q)
|
97% |
332
62.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
921
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
665
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
661
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
92% |
289
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1195
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
1183
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
903
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
1095
8.43 IPS |
|
|
Depth Estimation (Q)
|
72% |
1012
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
2503
3.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3279
4.22 IPS |
|
|
Style Transfer (Q)
|
98% |
3268
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
509
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.6 IPS |
|
|
Text Classification (HP)
|
100% |
406
542.2 IPS |
|
|
Text Classification (Q)
|
91% |
622
836.5 IPS |
|
|
Machine Translation (SP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (Q)
|
57% |
401
9.81 IPS |
