Google Pixel 6a
Geekbench AI Score
485
Single Precision Score
621
Half Precision Score
625
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:38 PM |
| Views | 13 |
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% |
290
53.8 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
97% |
405
75.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
964
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
339
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
432
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
92% |
359
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
1349
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
1775
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
632
4.87 IPS |
|
|
Depth Estimation (Q)
|
72% |
581
4.81 IPS |
|
|
Style Transfer (SP)
|
100% |
1407
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
2501
3.22 IPS |
|
|
Style Transfer (Q)
|
98% |
2485
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
382
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.5 IPS |
|
|
Text Classification (HP)
|
100% |
269
359.5 IPS |
|
|
Text Classification (Q)
|
91% |
491
660.1 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (Q)
|
57% |
316
7.73 IPS |
