Google Pixel 6a
Geekbench AI Score
237
Single Precision Score
1388
Half Precision Score
5154
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Timurfjg |
| Upload Date | October 22 2025 09:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 5.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
3636
676.2 IPS |
|
|
Image Classification (Q)
|
99% |
6958
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
3426
55.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9068
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
241
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
18959
22.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
45549
53.3 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
87% |
430
34.5 IPS |
|
|
Face Detection (SP)
|
100% |
385
4.57 IPS |
|
|
Face Detection (HP)
|
100% |
8540
101.5 IPS |
|
|
Face Detection (Q)
|
97% |
18069
215.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
309
2.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
20630
158.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
27399
252.2 IPS |
|
|
Style Transfer (SP)
|
100% |
525
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
515
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3027
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14276
529.0 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.0 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.4 IPS |
|
|
Text Classification (Q)
|
92% |
1680
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (Q)
|
57% |
298
7.28 IPS |
