Google Pixel 6a
Geekbench AI Score
857
Single Precision Score
854
Half Precision Score
1547
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 02:58 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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
473
88.0 IPS |
|
|
Image Classification (Q)
|
100% |
1287
239.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1424
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1794
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1832
2.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
2592
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
83% |
1082
87.4 IPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (Q)
|
95% |
2542
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1576
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1562
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2423
22.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2859
3.71 IPS |
|
|
Style Transfer (HP)
|
89% |
2609
3.39 IPS |
|
|
Style Transfer (Q)
|
98% |
5603
7.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
833
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1274
47.2 IPS |
|
|
Text Classification (SP)
|
100% |
378
504.5 IPS |
|
|
Text Classification (HP)
|
100% |
414
552.0 IPS |
|
|
Text Classification (Q)
|
88% |
715
964.6 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
489
17.4 IPS |
