Google Pixel 8a
Geekbench AI Score
1501
Single Precision Score
1461
Half Precision Score
2220
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 28 2024 11:08 AM |
| Views | 2 |
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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1450
269.6 IPS |
|
|
Image Classification (HP)
|
100% |
1415
263.2 IPS |
|
|
Image Classification (Q)
|
100% |
2289
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2478
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2664
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2170
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
4546
5.39 IPS |
|
|
Object Detection (SP)
|
98% |
927
73.8 IPS |
|
|
Object Detection (HP)
|
98% |
1021
81.3 IPS |
|
|
Object Detection (Q)
|
83% |
1468
118.6 IPS |
|
|
Face Detection (SP)
|
100% |
2197
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (Q)
|
95% |
3368
40.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2066
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2097
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3420
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5044
6.55 IPS |
|
|
Style Transfer (HP)
|
89% |
5025
6.52 IPS |
|
|
Style Transfer (Q)
|
98% |
9458
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2402
89.0 IPS |
|
|
Text Classification (SP)
|
100% |
451
601.9 IPS |
|
|
Text Classification (HP)
|
99% |
410
547.3 IPS |
|
|
Text Classification (Q)
|
88% |
644
868.9 IPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
