Google Pixel 6a
Geekbench AI Score
176
Single Precision Score
1149
Half Precision Score
4186
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 12:27 PM |
| Views | 2 |
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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (HP)
|
100% |
3829
712.0 IPS |
|
|
Image Classification (Q)
|
99% |
6252
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
108
1.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7741
125.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15996
18.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
38051
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.03 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.86 IPS |
|
|
Object Detection (Q)
|
87% |
334
26.8 IPS |
|
|
Face Detection (SP)
|
100% |
318
3.77 IPS |
|
|
Face Detection (HP)
|
100% |
7771
92.3 IPS |
|
|
Face Detection (Q)
|
97% |
15350
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
16141
124.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
22645
208.5 IPS |
|
|
Style Transfer (SP)
|
100% |
386
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
405
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
2416
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
119
4.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10273
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
138
183.8 IPS |
|
|
Text Classification (HP)
|
100% |
144
191.6 IPS |
|
|
Text Classification (Q)
|
92% |
1492
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
57% |
209
5.10 IPS |
