Google Pixel 6a
Geekbench AI Score
587
Single Precision Score
558
Half Precision Score
990
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Puffin |
| Upload Date | January 26 2025 11:37 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% |
376
70.0 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.8 IPS |
|
|
Image Classification (Q)
|
100% |
999
185.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1074
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1476
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1454
1.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
1693
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (Q)
|
83% |
551
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
733
8.70 IPS |
|
|
Face Detection (HP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (Q)
|
95% |
1588
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
874
6.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
907
6.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1234
11.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1682
2.18 IPS |
|
|
Style Transfer (HP)
|
89% |
1689
2.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3721
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
535
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
757
28.1 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.6 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.5 IPS |
|
|
Text Classification (Q)
|
88% |
477
643.6 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.28 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.3 IPS |
