Google Pixel 8a
Geekbench AI Score
922
Single Precision Score
1373
Half Precision Score
1069
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | December 13 2025 10:09 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
434
80.6 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
97% |
390
72.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1589
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4982
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
12213
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11744
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.2 IPS |
|
|
Object Detection (HP)
|
99% |
612
48.6 IPS |
|
|
Object Detection (Q)
|
83% |
790
63.8 IPS |
|
|
Face Detection (SP)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (Q)
|
96% |
2417
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3290
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5612
43.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4373
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7569
9.73 IPS |
|
|
Style Transfer (HP)
|
100% |
19512
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18552
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2179
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2058
76.3 IPS |
|
|
Text Classification (SP)
|
35% |
15
138.3 IPS |
|
|
Text Classification (HP)
|
35% |
20
182.8 IPS |
|
|
Text Classification (Q)
|
32% |
12
161.3 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (Q)
|
43% |
70
4.09 IPS |
