Google Pixel 6a
Geekbench AI Score
862
Single Precision Score
1227
Half Precision Score
982
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Rintaro |
| Upload Date | July 03 2025 04:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
383
71.2 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.2 IPS |
|
|
Image Classification (Q)
|
97% |
513
95.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1755
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5664
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
9829
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9671
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
99% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
83% |
467
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (Q)
|
96% |
2219
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2988
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4375
33.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
3502
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9808
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18466
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18245
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1983
73.5 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.2 IPS |
|
|
Text Classification (HP)
|
29% |
12
215.9 IPS |
|
|
Text Classification (Q)
|
29% |
12
214.2 IPS |
|
|
Machine Translation (SP)
|
100% |
224
3.86 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
43% |
61
3.55 IPS |
