Google Pixel 6a
Geekbench AI Score
527
Single Precision Score
683
Half Precision Score
642
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | January 03 2025 12:45 PM |
| Views | 8 |
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% |
298
55.5 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (Q)
|
99% |
369
68.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
916
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
433
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (Q)
|
83% |
425
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
1351
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
1906
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
554
4.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
62% |
503
4.76 IPS |
|
|
Style Transfer (SP)
|
100% |
1447
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
2586
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2541
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
432
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
334
445.3 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.6 IPS |
|
|
Text Classification (Q)
|
91% |
544
730.7 IPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
57% |
339
8.28 IPS |
