Google Pixel 6a
Geekbench AI Score
988
Single Precision Score
1446
Half Precision Score
1170
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | dmitrychou |
| Upload Date | October 05 2025 08:48 PM |
| Views | 8 |
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% |
440
81.8 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.9 IPS |
|
|
Image Classification (Q)
|
97% |
629
117.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1926
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5962
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
10413
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10263
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
99% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
83% |
596
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (Q)
|
96% |
2804
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3494
26.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5684
43.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4364
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10536
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20257
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19358
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2268
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2205
81.7 IPS |
|
|
Text Classification (SP)
|
35% |
19
174.1 IPS |
|
|
Text Classification (HP)
|
29% |
15
251.7 IPS |
|
|
Text Classification (Q)
|
29% |
15
258.3 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.83 IPS |
|
|
Machine Translation (Q)
|
43% |
83
4.82 IPS |
