Google Pixel 8a
Geekbench AI Score
925
Single Precision Score
1358
Half Precision Score
1030
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:36 AM |
| Views | 12 |
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% |
442
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.2 IPS |
|
|
Image Classification (Q)
|
97% |
338
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1639
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4957
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
12102
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11778
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
99% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
83% |
571
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (Q)
|
96% |
2331
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3317
25.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5585
43.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4414
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7494
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19523
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18325
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2284
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2081
77.1 IPS |
|
|
Text Classification (SP)
|
35% |
15
139.0 IPS |
|
|
Text Classification (HP)
|
35% |
18
161.4 IPS |
|
|
Text Classification (Q)
|
32% |
14
180.2 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.81 IPS |
