Google Pixel 8a
Geekbench AI Score
903
Single Precision Score
1295
Half Precision Score
1003
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 07:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (Q)
|
97% |
306
57.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1728
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4937
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
12361
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11977
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
487
38.7 IPS |
|
|
Object Detection (HP)
|
99% |
529
41.9 IPS |
|
|
Object Detection (Q)
|
83% |
563
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2514
29.9 IPS |
|
|
Face Detection (Q)
|
96% |
2248
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3264
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5312
41.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4176
39.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7563
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
19698
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18555
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1952
72.3 IPS |
|
|
Text Classification (SP)
|
35% |
15
139.3 IPS |
|
|
Text Classification (HP)
|
35% |
20
180.1 IPS |
|
|
Text Classification (Q)
|
32% |
13
167.5 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.99 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.87 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.86 IPS |
