Google Pixel 6a
Geekbench AI Score
1035
Single Precision Score
1029
Half Precision Score
1888
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | May 14 2025 02:11 PM |
| Views | 3 |
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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (HP)
|
100% |
505
93.9 IPS |
|
|
Image Classification (Q)
|
100% |
1377
256.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1556
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2168
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2062
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
3129
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.5 IPS |
|
|
Object Detection (Q)
|
83% |
1245
100.5 IPS |
|
|
Face Detection (SP)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
2878
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1841
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1824
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2842
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3292
4.27 IPS |
|
|
Style Transfer (HP)
|
89% |
3341
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
6873
8.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1074
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1820
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
595
793.6 IPS |
|
|
Text Classification (HP)
|
100% |
611
816.1 IPS |
|
|
Text Classification (Q)
|
88% |
1095
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
50% |
616
21.9 IPS |
