Google Pixel 6a
Geekbench AI Score
1037
Single Precision Score
1018
Half Precision Score
1911
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 02:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
515
95.7 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
100% |
1380
256.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1548
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2160
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1992
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
3194
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
83% |
1266
102.3 IPS |
|
|
Face Detection (SP)
|
100% |
1420
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (Q)
|
95% |
2918
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1807
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1826
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2888
26.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3356
4.36 IPS |
|
|
Style Transfer (HP)
|
89% |
3360
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
7097
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1848
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
571
762.3 IPS |
|
|
Text Classification (HP)
|
100% |
606
808.3 IPS |
|
|
Text Classification (Q)
|
88% |
1102
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
618
21.9 IPS |
