Google Pixel 6a
Geekbench AI Score
880
Single Precision Score
885
Half Precision Score
1614
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | sfoskett |
| Upload Date | August 15 2024 08:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.2 IPS |
|
|
Image Classification (Q)
|
100% |
1202
223.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1364
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1907
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1892
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
2471
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
87% |
1065
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2425
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1525
11.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
1493
11.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
2611
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2749
3.57 IPS |
|
|
Style Transfer (HP)
|
89% |
2747
3.57 IPS |
|
|
Style Transfer (Q)
|
98% |
5459
7.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
917
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
911
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1604
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
514
685.4 IPS |
|
|
Text Classification (HP)
|
100% |
545
728.0 IPS |
|
|
Text Classification (Q)
|
88% |
957
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
526
18.7 IPS |
