Google Pixel 7a
Geekbench AI Score
964
Single Precision Score
955
Half Precision Score
1704
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 12:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7a |
| Model ID | Google Pixel 7a |
| Motherboard | lynx |
| 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 @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (Q)
|
100% |
1502
279.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1732
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2130
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2124
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
2667
3.16 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
83% |
1084
87.6 IPS |
|
|
Face Detection (SP)
|
100% |
1217
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (Q)
|
95% |
2943
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1721
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1714
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2842
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3465
4.50 IPS |
|
|
Style Transfer (HP)
|
89% |
3219
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
6681
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1598
59.2 IPS |
|
|
Text Classification (SP)
|
100% |
475
634.1 IPS |
|
|
Text Classification (HP)
|
100% |
470
627.8 IPS |
|
|
Text Classification (Q)
|
88% |
783
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
393
14.0 IPS |
