Google Pixel 6a
Geekbench AI Score
489
Single Precision Score
625
Half Precision Score
601
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 10:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.3 IPS |
|
|
Image Classification (Q)
|
99% |
370
69.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
962
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
422
0.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
389
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
83% |
407
33.0 IPS |
|
|
Face Detection (SP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1950
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
2024
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
526
4.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
638
4.92 IPS |
|
|
Depth Estimation (Q)
|
62% |
504
4.77 IPS |
|
|
Style Transfer (SP)
|
100% |
1436
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2301
2.96 IPS |
|
|
Style Transfer (Q)
|
98% |
1929
2.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
395
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.9 IPS |
|
|
Text Classification (HP)
|
100% |
278
370.7 IPS |
|
|
Text Classification (Q)
|
91% |
502
675.4 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.91 IPS |
