Google Pixel 6a
Geekbench AI Score
292
Single Precision Score
1610
Half Precision Score
4456
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | sfoskett |
| Upload Date | August 15 2024 09:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
190
35.4 IPS |
|
|
Image Classification (HP)
|
100% |
4105
763.4 IPS |
|
|
Image Classification (Q)
|
99% |
6967
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2091
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
19019
22.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
45279
53.0 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (Q)
|
89% |
530
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
444
5.27 IPS |
|
|
Face Detection (HP)
|
100% |
9984
118.6 IPS |
|
|
Face Detection (Q)
|
97% |
18845
224.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
375
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
18962
146.1 IPS |
|
|
Depth Estimation (Q)
|
70% |
29550
248.9 IPS |
|
|
Style Transfer (SP)
|
100% |
609
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
629
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3048
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
189
6.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11923
441.8 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.6 IPS |
|
|
Text Classification (HP)
|
100% |
284
379.0 IPS |
|
|
Text Classification (Q)
|
92% |
1501
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.10 IPS |
