Google Pixel 8a
Geekbench AI Score
897
Single Precision Score
1386
Half Precision Score
1073
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2025 02:35 AM |
| 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% |
305
56.8 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (Q)
|
97% |
447
83.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1896
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4869
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
11656
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11392
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (HP)
|
99% |
840
66.6 IPS |
|
|
Object Detection (Q)
|
83% |
562
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
2096
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (Q)
|
96% |
2391
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3290
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5591
43.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4406
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7504
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
19669
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18667
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2087
77.4 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.1 IPS |
|
|
Text Classification (HP)
|
35% |
18
159.5 IPS |
|
|
Text Classification (Q)
|
32% |
14
184.0 IPS |
|
|
Machine Translation (SP)
|
100% |
237
4.08 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.77 IPS |
