Google Pixel 8a
Geekbench AI Score
678
Single Precision Score
805
Half Precision Score
765
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 06:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
383
71.2 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (Q)
|
99% |
384
71.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1015
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
666
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (Q)
|
83% |
442
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1460
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
1134
8.73 IPS |
|
|
Depth Estimation (Q)
|
62% |
907
8.58 IPS |
|
|
Style Transfer (SP)
|
100% |
2527
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3362
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3307
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
578
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
404
539.6 IPS |
|
|
Text Classification (HP)
|
100% |
403
537.3 IPS |
|
|
Text Classification (Q)
|
91% |
615
827.2 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.83 IPS |
|
|
Machine Translation (Q)
|
57% |
386
9.44 IPS |
