Google Pixel 8a
Geekbench AI Score
1525
Single Precision Score
1600
Half Precision Score
2310
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 11:38 AM |
| Views | 2 |
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% |
1494
277.8 IPS |
|
|
Image Classification (HP)
|
100% |
1433
266.6 IPS |
|
|
Image Classification (Q)
|
100% |
2566
477.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2802
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2845
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2811
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6358
7.54 IPS |
|
|
Object Detection (SP)
|
98% |
1336
106.3 IPS |
|
|
Object Detection (HP)
|
98% |
1275
101.5 IPS |
|
|
Object Detection (Q)
|
83% |
1331
107.5 IPS |
|
|
Face Detection (SP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (Q)
|
95% |
3818
45.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2368
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2196
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3504
32.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5087
6.60 IPS |
|
|
Style Transfer (HP)
|
89% |
4965
6.45 IPS |
|
|
Style Transfer (Q)
|
98% |
9585
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
995
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2366
87.7 IPS |
|
|
Text Classification (SP)
|
100% |
410
546.8 IPS |
|
|
Text Classification (HP)
|
99% |
448
597.5 IPS |
|
|
Text Classification (Q)
|
88% |
650
876.7 IPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
362
12.8 IPS |
