Google Pixel 6a
Geekbench AI Score
344
Single Precision Score
1731
Half Precision Score
5400
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 01:41 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% |
217
40.3 IPS |
|
|
Image Classification (HP)
|
100% |
4333
805.8 IPS |
|
|
Image Classification (Q)
|
99% |
6915
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
3412
55.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9411
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
18928
22.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
44310
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.1 IPS |
|
|
Object Detection (Q)
|
87% |
591
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (HP)
|
100% |
9910
117.7 IPS |
|
|
Face Detection (Q)
|
97% |
18195
216.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
439
3.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
18523
142.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
26995
248.5 IPS |
|
|
Style Transfer (SP)
|
100% |
721
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3408
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
215
7.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13380
495.8 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.8 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.3 IPS |
|
|
Text Classification (Q)
|
92% |
1675
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.07 IPS |
