Google Pixel 8a
Geekbench AI Score
1249
Single Precision Score
1182
Half Precision Score
2167
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | luchnik |
| Upload Date | July 21 2025 02:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
997
185.3 IPS |
|
|
Image Classification (HP)
|
100% |
1538
286.0 IPS |
|
|
Image Classification (Q)
|
100% |
2597
482.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2641
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2844
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2751
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
5829
6.91 IPS |
|
|
Object Detection (SP)
|
98% |
1266
100.7 IPS |
|
|
Object Detection (HP)
|
98% |
1279
101.7 IPS |
|
|
Object Detection (Q)
|
83% |
1724
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
2395
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
3501
41.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1290
9.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1412
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3220
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2970
3.86 IPS |
|
|
Style Transfer (HP)
|
89% |
5071
6.58 IPS |
|
|
Style Transfer (Q)
|
98% |
7804
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1260
46.7 IPS |
|
|
Text Classification (SP)
|
100% |
417
557.1 IPS |
|
|
Text Classification (HP)
|
99% |
256
342.2 IPS |
|
|
Text Classification (Q)
|
88% |
642
865.4 IPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
