Google Pixel 6a
Geekbench AI Score
927
Single Precision Score
907
Half Precision Score
1715
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Rintaro |
| Upload Date | July 03 2025 03:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
478
89.0 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.2 IPS |
|
|
Image Classification (Q)
|
100% |
1277
237.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1445
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1963
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1659
1.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
2896
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
83% |
1131
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (Q)
|
95% |
2662
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1696
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1694
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2603
23.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3101
4.03 IPS |
|
|
Style Transfer (HP)
|
89% |
3054
3.96 IPS |
|
|
Style Transfer (Q)
|
98% |
6427
8.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1512
56.0 IPS |
|
|
Text Classification (SP)
|
100% |
490
654.5 IPS |
|
|
Text Classification (HP)
|
100% |
491
655.3 IPS |
|
|
Text Classification (Q)
|
88% |
981
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
552
19.6 IPS |
