Google Pixel 6a
Geekbench AI Score
353
Single Precision Score
1753
Half Precision Score
5450
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | January 03 2025 01:09 PM |
| Views | 13 |
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% |
220
40.8 IPS |
|
|
Image Classification (HP)
|
100% |
4129
767.8 IPS |
|
|
Image Classification (Q)
|
99% |
6957
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
3409
55.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9512
154.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
352
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
18857
22.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
44436
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
587
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (HP)
|
100% |
9747
115.8 IPS |
|
|
Face Detection (Q)
|
97% |
18291
218.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
454
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
18211
140.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27242
250.8 IPS |
|
|
Style Transfer (SP)
|
100% |
741
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
755
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
3489
4.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
226
8.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
227
8.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13315
493.4 IPS |
|
|
Text Classification (SP)
|
100% |
329
439.7 IPS |
|
|
Text Classification (HP)
|
100% |
323
430.6 IPS |
|
|
Text Classification (Q)
|
92% |
1693
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (Q)
|
57% |
342
8.37 IPS |
