Google Pixel 8a
Geekbench AI Score
1090
Single Precision Score
1147
Half Precision Score
1584
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 05:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
661
122.9 IPS |
|
|
Image Classification (HP)
|
100% |
1493
277.6 IPS |
|
|
Image Classification (Q)
|
100% |
1170
217.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2535
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2515
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1920
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
3349
3.97 IPS |
|
|
Object Detection (SP)
|
98% |
693
55.1 IPS |
|
|
Object Detection (HP)
|
98% |
677
53.8 IPS |
|
|
Object Detection (Q)
|
83% |
1072
86.6 IPS |
|
|
Face Detection (SP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (Q)
|
95% |
2405
28.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1514
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1553
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2302
21.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3685
4.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3633
4.72 IPS |
|
|
Style Transfer (Q)
|
98% |
6986
9.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
708
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1677
62.1 IPS |
|
|
Text Classification (SP)
|
100% |
309
413.0 IPS |
|
|
Text Classification (HP)
|
99% |
306
409.0 IPS |
|
|
Text Classification (Q)
|
88% |
475
640.9 IPS |
|
|
Machine Translation (SP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
304
10.8 IPS |
