Google Pixel 6a
Geekbench AI Score
200
Single Precision Score
1239
Half Precision Score
4488
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 07:22 PM |
| Views | 9 |
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% |
136
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
4332
805.6 IPS |
|
|
Image Classification (Q)
|
99% |
6990
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
3506
56.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9301
151.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
16243
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
37815
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.54 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.84 IPS |
|
|
Object Detection (Q)
|
87% |
354
28.4 IPS |
|
|
Face Detection (SP)
|
100% |
341
4.05 IPS |
|
|
Face Detection (HP)
|
100% |
8195
97.4 IPS |
|
|
Face Detection (Q)
|
97% |
15197
181.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
262
2.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
16250
125.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
21982
202.4 IPS |
|
|
Style Transfer (SP)
|
100% |
440
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
413
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2500
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
119
4.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
124
4.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10553
391.0 IPS |
|
|
Text Classification (SP)
|
100% |
143
191.4 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.7 IPS |
|
|
Text Classification (Q)
|
92% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.79 IPS |
