Google Pixel 8a
Geekbench AI Score
1784
Single Precision Score
1767
Half Precision Score
2961
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 04:20 PM |
| 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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
1447
269.1 IPS |
|
|
Image Classification (Q)
|
100% |
2540
472.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2609
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2671
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2530
2.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
5974
7.08 IPS |
|
|
Object Detection (SP)
|
98% |
1216
96.8 IPS |
|
|
Object Detection (HP)
|
98% |
1255
99.8 IPS |
|
|
Object Detection (Q)
|
83% |
2037
164.5 IPS |
|
|
Face Detection (SP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (Q)
|
95% |
5175
61.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2406
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2391
18.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4587
42.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6163
8.00 IPS |
|
|
Style Transfer (HP)
|
89% |
6015
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
12684
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3573
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
662
884.0 IPS |
|
|
Text Classification (HP)
|
99% |
715
954.8 IPS |
|
|
Text Classification (Q)
|
88% |
1151
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
519
18.4 IPS |
