Google Pixel 8a
Geekbench AI Score
668
Single Precision Score
807
Half Precision Score
757
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 07:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
99% |
392
73.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1000
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
693
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
83% |
491
39.7 IPS |
|
|
Face Detection (SP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
1548
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
940
7.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
1152
8.88 IPS |
|
|
Depth Estimation (Q)
|
62% |
926
8.76 IPS |
|
|
Style Transfer (SP)
|
100% |
2605
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3389
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
3341
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
599
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.3 IPS |
|
|
Text Classification (HP)
|
100% |
352
470.2 IPS |
|
|
Text Classification (Q)
|
91% |
559
751.1 IPS |
|
|
Machine Translation (SP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.00 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.09 IPS |
