Google Pixel 6a
Geekbench AI Score
504
Single Precision Score
670
Half Precision Score
646
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 01:10 AM |
| Views | 1 |
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% |
258
47.9 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
99% |
342
63.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1099
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
436
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
433
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
422
34.2 IPS |
|
|
Face Detection (SP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1849
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
1907
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
550
4.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
665
5.12 IPS |
|
|
Depth Estimation (Q)
|
62% |
523
4.95 IPS |
|
|
Style Transfer (SP)
|
100% |
1460
1.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2576
3.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2540
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.4 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.1 IPS |
|
|
Text Classification (Q)
|
91% |
542
728.1 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
57% |
340
8.30 IPS |
