Google Pixel 8a
Geekbench AI Score
1168
Single Precision Score
1165
Half Precision Score
1711
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 07:18 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
1423
264.6 IPS |
|
|
Image Classification (Q)
|
100% |
2334
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2330
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2074
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
3916
4.64 IPS |
|
|
Object Detection (SP)
|
98% |
694
55.3 IPS |
|
|
Object Detection (HP)
|
98% |
666
53.0 IPS |
|
|
Object Detection (Q)
|
83% |
988
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
1559
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
95% |
2370
28.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1590
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1587
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2377
21.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3620
4.70 IPS |
|
|
Style Transfer (HP)
|
89% |
3675
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
6904
8.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1725
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
313
417.2 IPS |
|
|
Text Classification (HP)
|
99% |
331
441.7 IPS |
|
|
Text Classification (Q)
|
88% |
509
687.1 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
300
10.6 IPS |
