Google Pixel 6a
Geekbench AI Score
222
Single Precision Score
1347
Half Precision Score
5022
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | November 22 2025 09:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
147
27.3 IPS |
|
|
Image Classification (HP)
|
100% |
4266
793.4 IPS |
|
|
Image Classification (Q)
|
99% |
6968
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
3430
55.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9311
151.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
231
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
18818
22.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
44553
52.2 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (Q)
|
87% |
412
33.0 IPS |
|
|
Face Detection (SP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
9317
110.7 IPS |
|
|
Face Detection (Q)
|
97% |
18151
216.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
294
2.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
18594
143.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
25866
238.1 IPS |
|
|
Style Transfer (SP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
487
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
2875
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13322
493.6 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.4 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.2 IPS |
|
|
Text Classification (Q)
|
92% |
1723
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
289
4.99 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
57% |
277
6.78 IPS |
