Google Pixel 6a
Geekbench AI Score
483
Single Precision Score
625
Half Precision Score
620
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | sfoskett |
| Upload Date | August 15 2024 08:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
274
50.9 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (Q)
|
97% |
375
69.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
600
9.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
929
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
339
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
436
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (Q)
|
92% |
363
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1701
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
1771
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
553
4.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
605
4.66 IPS |
|
|
Depth Estimation (Q)
|
72% |
557
4.61 IPS |
|
|
Style Transfer (SP)
|
100% |
1393
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2509
3.23 IPS |
|
|
Style Transfer (Q)
|
98% |
2486
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
394
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
399
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.6 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.7 IPS |
|
|
Text Classification (Q)
|
91% |
498
669.4 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.02 IPS |
|
|
Machine Translation (Q)
|
57% |
316
7.72 IPS |
