Google Pixel 8a
Geekbench AI Score
993
Single Precision Score
1100
Half Precision Score
1392
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 07:11 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
719
133.7 IPS |
|
|
Image Classification (HP)
|
100% |
1250
232.4 IPS |
|
|
Image Classification (Q)
|
100% |
781
145.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1667
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2035
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2002
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
2838
3.37 IPS |
|
|
Object Detection (SP)
|
98% |
600
47.8 IPS |
|
|
Object Detection (HP)
|
98% |
701
55.8 IPS |
|
|
Object Detection (Q)
|
83% |
993
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (Q)
|
95% |
2092
25.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1490
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1584
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2246
20.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2662
3.46 IPS |
|
|
Style Transfer (HP)
|
89% |
3620
4.70 IPS |
|
|
Style Transfer (Q)
|
98% |
7020
9.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
728
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1471
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.8 IPS |
|
|
Text Classification (HP)
|
99% |
315
420.3 IPS |
|
|
Text Classification (Q)
|
88% |
510
688.5 IPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
