Google Pixel 7a
Geekbench AI Score
935
Single Precision Score
899
Half Precision Score
1665
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 07:06 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% |
478
88.9 IPS |
|
|
Image Classification (HP)
|
100% |
473
88.0 IPS |
|
|
Image Classification (Q)
|
100% |
1497
278.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1707
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1982
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
2565
3.04 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
399
31.6 IPS |
|
|
Object Detection (Q)
|
83% |
995
80.4 IPS |
|
|
Face Detection (SP)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2671
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1703
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1585
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2680
24.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3418
4.44 IPS |
|
|
Style Transfer (HP)
|
89% |
3194
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
6659
8.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
903
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1735
64.3 IPS |
|
|
Text Classification (SP)
|
100% |
455
606.8 IPS |
|
|
Text Classification (HP)
|
100% |
446
595.2 IPS |
|
|
Text Classification (Q)
|
88% |
806
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
377
13.4 IPS |
