Google Pixel 8a
Geekbench AI Score
1188
Single Precision Score
1165
Half Precision Score
1706
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 01:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.4 IPS |
|
|
Image Classification (Q)
|
100% |
2260
420.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2353
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2498
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
3463
4.11 IPS |
|
|
Object Detection (SP)
|
98% |
658
52.4 IPS |
|
|
Object Detection (HP)
|
98% |
681
54.2 IPS |
|
|
Object Detection (Q)
|
83% |
988
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (Q)
|
95% |
2385
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1539
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1529
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2427
22.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3727
4.84 IPS |
|
|
Style Transfer (HP)
|
89% |
3653
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6902
8.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1727
64.0 IPS |
|
|
Text Classification (SP)
|
100% |
356
475.5 IPS |
|
|
Text Classification (HP)
|
99% |
340
453.6 IPS |
|
|
Text Classification (Q)
|
88% |
552
745.1 IPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
303
10.8 IPS |
