Google Pixel 8a
Geekbench AI Score
1774
Single Precision Score
1832
Half Precision Score
2850
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 07:26 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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (Q)
|
100% |
2413
448.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2657
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2868
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2799
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
6374
7.56 IPS |
|
|
Object Detection (SP)
|
98% |
1367
108.8 IPS |
|
|
Object Detection (HP)
|
98% |
1242
98.8 IPS |
|
|
Object Detection (Q)
|
83% |
2113
170.7 IPS |
|
|
Face Detection (SP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (Q)
|
95% |
5118
61.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2803
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2789
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4549
41.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6775
8.80 IPS |
|
|
Style Transfer (HP)
|
89% |
6698
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
13134
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1456
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3701
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
500
667.6 IPS |
|
|
Text Classification (HP)
|
99% |
669
893.1 IPS |
|
|
Text Classification (Q)
|
88% |
783
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
463
16.4 IPS |
