Google Pixel 8a
Geekbench AI Score
656
Single Precision Score
749
Half Precision Score
709
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | seguraf17 |
| Upload Date | May 18 2025 08:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (Q)
|
99% |
304
56.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1016
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.4 IPS |
|
|
Object Detection (Q)
|
83% |
430
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1520
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1431
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
903
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
1115
8.59 IPS |
|
|
Depth Estimation (Q)
|
62% |
911
8.62 IPS |
|
|
Style Transfer (SP)
|
100% |
2530
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3319
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3313
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
607
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.5 IPS |
|
|
Text Classification (HP)
|
100% |
358
478.4 IPS |
|
|
Text Classification (Q)
|
91% |
567
762.3 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
57% |
247
6.03 IPS |
