Google Pixel 8a
Geekbench AI Score
931
Single Precision Score
1404
Half Precision Score
1077
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 01:37 PM |
| Views | 3 |
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% |
342
63.6 IPS |
|
|
Image Classification (HP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (Q)
|
97% |
415
77.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1677
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4895
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
11586
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11400
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
99% |
851
67.5 IPS |
|
|
Object Detection (Q)
|
83% |
575
46.4 IPS |
|
|
Face Detection (SP)
|
100% |
2519
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
2670
31.7 IPS |
|
|
Face Detection (Q)
|
96% |
2650
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3308
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5321
41.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4265
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7104
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
19018
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18763
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2185
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2002
74.2 IPS |
|
|
Text Classification (SP)
|
35% |
17
153.1 IPS |
|
|
Text Classification (HP)
|
35% |
20
183.6 IPS |
|
|
Text Classification (Q)
|
32% |
17
225.7 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.74 IPS |
