Google Pixel 6a
Geekbench AI Score
625
Single Precision Score
614
Half Precision Score
1047
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 09:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
100% |
1204
223.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1751
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1712
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
1837
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (Q)
|
83% |
641
51.8 IPS |
|
|
Face Detection (SP)
|
100% |
821
9.75 IPS |
|
|
Face Detection (HP)
|
100% |
779
9.25 IPS |
|
|
Face Detection (Q)
|
95% |
1496
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1067
8.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
1064
8.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
1461
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1979
2.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1551
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3478
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
475
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
729
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
229
306.1 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.3 IPS |
|
|
Text Classification (Q)
|
88% |
471
635.6 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
50% |
330
11.7 IPS |
