Google Pixel 6a
Geekbench AI Score
879
Single Precision Score
838
Half Precision Score
1564
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:26 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 6a |
| Model ID | Google Pixel 6a |
| Motherboard | bluejay |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
100% |
1238
230.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1373
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1919
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1484
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
2626
3.11 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (Q)
|
87% |
1074
86.3 IPS |
|
|
Face Detection (SP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2496
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1533
11.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
1518
11.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
2629
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2766
3.59 IPS |
|
|
Style Transfer (HP)
|
89% |
2736
3.55 IPS |
|
|
Style Transfer (Q)
|
98% |
5929
7.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
925
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
917
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1356
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.2 IPS |
|
|
Text Classification (HP)
|
100% |
427
569.5 IPS |
|
|
Text Classification (Q)
|
88% |
728
981.5 IPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |
