Google Pixel 8a
Geekbench AI Score
2002
Single Precision Score
2024
Half Precision Score
3298
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 09:21 PM |
| Views | 3 |
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% |
1531
284.6 IPS |
|
|
Image Classification (HP)
|
100% |
1562
290.4 IPS |
|
|
Image Classification (Q)
|
100% |
2461
457.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2796
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3134
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3007
3.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
6812
8.08 IPS |
|
|
Object Detection (SP)
|
98% |
1369
108.9 IPS |
|
|
Object Detection (HP)
|
98% |
1513
120.4 IPS |
|
|
Object Detection (Q)
|
83% |
2436
196.8 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
5669
67.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2794
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2924
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5384
49.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7106
9.23 IPS |
|
|
Style Transfer (HP)
|
89% |
7064
9.17 IPS |
|
|
Style Transfer (Q)
|
98% |
14219
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1519
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3922
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.7 IPS |
|
|
Text Classification (HP)
|
99% |
747
996.6 IPS |
|
|
Text Classification (Q)
|
88% |
1197
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
655
23.2 IPS |
