Google Pixel 8a
Geekbench AI Score
903
Single Precision Score
1383
Half Precision Score
1045
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 07:09 PM |
| Views | 2 |
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% |
319
59.4 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (Q)
|
97% |
398
74.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1708
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4862
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
11963
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11903
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
99% |
619
49.1 IPS |
|
|
Object Detection (Q)
|
83% |
564
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
2121
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (Q)
|
96% |
2296
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3250
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5546
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4462
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7691
9.89 IPS |
|
|
Style Transfer (HP)
|
100% |
19549
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18610
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2127
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1975
73.2 IPS |
|
|
Text Classification (SP)
|
35% |
16
148.0 IPS |
|
|
Text Classification (HP)
|
35% |
21
186.8 IPS |
|
|
Text Classification (Q)
|
32% |
14
187.1 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.78 IPS |
