Google Pixel 6a
Geekbench AI Score
271
Single Precision Score
1399
Half Precision Score
4664
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Puffin |
| Upload Date | January 27 2025 12:26 AM |
| Views | 1 |
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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (HP)
|
100% |
4238
788.1 IPS |
|
|
Image Classification (Q)
|
99% |
6886
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
3372
54.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9372
152.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
313
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
18892
22.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
44341
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
87% |
457
36.7 IPS |
|
|
Face Detection (SP)
|
100% |
404
4.81 IPS |
|
|
Face Detection (HP)
|
100% |
8214
97.6 IPS |
|
|
Face Detection (Q)
|
97% |
15769
188.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
341
2.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
16261
125.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
23669
217.9 IPS |
|
|
Style Transfer (SP)
|
100% |
545
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
494
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
2550
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
168
6.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
171
6.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10398
385.3 IPS |
|
|
Text Classification (SP)
|
100% |
196
261.8 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.9 IPS |
|
|
Text Classification (Q)
|
92% |
1500
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (Q)
|
57% |
251
6.14 IPS |
