Google Pixel 8a
Geekbench AI Score
919
Single Precision Score
1285
Half Precision Score
1021
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 01:58 AM |
| 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% |
409
76.1 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (Q)
|
97% |
341
63.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1652
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4934
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
12381
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11968
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (HP)
|
99% |
543
43.0 IPS |
|
|
Object Detection (Q)
|
83% |
633
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
2012
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (Q)
|
96% |
2354
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3262
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5483
42.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4350
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7668
9.86 IPS |
|
|
Style Transfer (HP)
|
100% |
19622
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18436
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2221
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2000
74.1 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.1 IPS |
|
|
Text Classification (HP)
|
35% |
17
150.6 IPS |
|
|
Text Classification (Q)
|
32% |
12
159.9 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.72 IPS |
