Google Pixel 8a
Geekbench AI Score
1147
Single Precision Score
1114
Half Precision Score
1692
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 11 2025 02:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.5 IPS |
|
|
Image Classification (Q)
|
100% |
2425
450.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2516
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2213
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1701
1.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
3356
3.98 IPS |
|
|
Object Detection (SP)
|
98% |
688
54.8 IPS |
|
|
Object Detection (HP)
|
98% |
688
54.8 IPS |
|
|
Object Detection (Q)
|
83% |
1022
82.6 IPS |
|
|
Face Detection (SP)
|
100% |
1542
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
2389
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1551
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1521
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2247
20.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3677
4.77 IPS |
|
|
Style Transfer (HP)
|
89% |
3653
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6969
8.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1711
63.4 IPS |
|
|
Text Classification (SP)
|
100% |
307
409.5 IPS |
|
|
Text Classification (HP)
|
99% |
313
417.6 IPS |
|
|
Text Classification (Q)
|
88% |
510
687.8 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
283
10.1 IPS |
