Google Pixel 6a
Geekbench AI Score
238
Single Precision Score
1402
Half Precision Score
5028
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Timurfjg |
| Upload Date | October 29 2025 03:36 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 | 5.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (HP)
|
100% |
4296
798.9 IPS |
|
|
Image Classification (Q)
|
99% |
6832
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
3359
54.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8652
140.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
241
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
18823
22.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
44843
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
429
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (HP)
|
100% |
8545
101.5 IPS |
|
|
Face Detection (Q)
|
97% |
17757
211.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
17932
138.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
25971
239.1 IPS |
|
|
Style Transfer (SP)
|
100% |
523
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
520
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
2998
3.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
143
5.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
146
5.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13214
489.6 IPS |
|
|
Text Classification (SP)
|
100% |
205
273.8 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.9 IPS |
|
|
Text Classification (Q)
|
92% |
1620
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.78 IPS |
|
|
Machine Translation (Q)
|
57% |
307
7.50 IPS |
