Google Pixel 6a
Geekbench AI Score
898
Single Precision Score
890
Half Precision Score
1648
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
449
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.2 IPS |
|
|
Image Classification (Q)
|
100% |
1237
230.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1371
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1967
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1794
2.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
2554
3.03 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.1 IPS |
|
|
Object Detection (Q)
|
83% |
1062
85.8 IPS |
|
|
Face Detection (SP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (Q)
|
95% |
2491
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1532
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1563
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2421
22.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2828
3.67 IPS |
|
|
Style Transfer (HP)
|
89% |
2851
3.70 IPS |
|
|
Style Transfer (Q)
|
98% |
5922
7.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
921
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1558
57.7 IPS |
|
|
Text Classification (SP)
|
100% |
500
667.5 IPS |
|
|
Text Classification (HP)
|
100% |
502
669.4 IPS |
|
|
Text Classification (Q)
|
88% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
560
19.9 IPS |
