Google Pixel 6a
Geekbench AI Score
876
Single Precision Score
858
Half Precision Score
1493
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | April 20 2025 01:20 AM |
| 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% |
477
88.6 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
100% |
1284
238.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1462
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2023
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1802
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
2620
3.11 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (Q)
|
83% |
938
75.8 IPS |
|
|
Face Detection (SP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2044
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1473
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1436
11.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2083
19.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2728
3.54 IPS |
|
|
Style Transfer (HP)
|
89% |
2636
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
5219
6.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1355
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.1 IPS |
|
|
Text Classification (HP)
|
100% |
480
641.0 IPS |
|
|
Text Classification (Q)
|
88% |
837
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
476
16.9 IPS |
