Google Pixel 6a
Geekbench AI Score
255
Single Precision Score
1167
Half Precision Score
3669
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 10:23 PM |
| 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% |
188
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
3112
578.8 IPS |
|
|
Image Classification (Q)
|
99% |
5049
941.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5952
96.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
283
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
12219
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
29120
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
87% |
372
29.8 IPS |
|
|
Face Detection (SP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (HP)
|
100% |
6508
77.3 IPS |
|
|
Face Detection (Q)
|
97% |
11966
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
332
2.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
12455
96.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
19102
175.8 IPS |
|
|
Style Transfer (SP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
473
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
2454
3.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
168
6.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8317
308.2 IPS |
|
|
Text Classification (SP)
|
100% |
196
261.4 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.8 IPS |
|
|
Text Classification (Q)
|
92% |
1296
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (Q)
|
57% |
225
5.51 IPS |
