Google Pixel 8a
Geekbench AI Score
1724
Single Precision Score
1717
Half Precision Score
2728
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 11:07 AM |
| Views | 1 |
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% |
1516
281.9 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.5 IPS |
|
|
Image Classification (Q)
|
100% |
2563
476.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2587
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2877
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2738
3.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
6310
7.48 IPS |
|
|
Object Detection (SP)
|
98% |
1343
106.9 IPS |
|
|
Object Detection (HP)
|
98% |
1347
107.2 IPS |
|
|
Object Detection (Q)
|
83% |
2090
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
5499
65.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2686
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2597
20.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4975
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6396
8.30 IPS |
|
|
Style Transfer (HP)
|
89% |
6006
7.80 IPS |
|
|
Style Transfer (Q)
|
98% |
11847
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1082
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2477
91.8 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.5 IPS |
|
|
Text Classification (HP)
|
99% |
487
650.2 IPS |
|
|
Text Classification (Q)
|
88% |
691
931.4 IPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.8 IPS |
