Google Pixel 6a
Geekbench AI Score
849
Single Precision Score
825
Half Precision Score
1476
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | sfoskett |
| Upload Date | August 15 2024 07:25 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% |
469
87.3 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
100% |
1249
232.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
1438
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1943
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1919
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
2356
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
87% |
1014
81.4 IPS |
|
|
Face Detection (SP)
|
100% |
1208
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (Q)
|
95% |
2282
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1427
11.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
1462
11.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
2349
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2617
3.40 IPS |
|
|
Style Transfer (HP)
|
89% |
2399
3.11 IPS |
|
|
Style Transfer (Q)
|
98% |
4737
6.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1295
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
427
569.4 IPS |
|
|
Text Classification (HP)
|
100% |
426
568.2 IPS |
|
|
Text Classification (Q)
|
88% |
726
979.5 IPS |
|
|
Machine Translation (SP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
481
17.1 IPS |
