Google Pixel 6a
Geekbench AI Score
899
Single Precision Score
895
Half Precision Score
1604
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 08:45 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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (Q)
|
100% |
1278
237.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
549
8.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1415
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1946
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1887
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
2476
2.94 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (Q)
|
83% |
1049
84.8 IPS |
|
|
Face Detection (SP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2487
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1522
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1505
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2319
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2779
3.61 IPS |
|
|
Style Transfer (HP)
|
89% |
2774
3.60 IPS |
|
|
Style Transfer (Q)
|
98% |
5798
7.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
942
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1623
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
521
695.4 IPS |
|
|
Text Classification (HP)
|
100% |
523
698.1 IPS |
|
|
Text Classification (Q)
|
88% |
908
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
488
17.3 IPS |
