Google Pixel 7a
Geekbench AI Score
1080
Single Precision Score
1085
Half Precision Score
2034
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 05:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.4 IPS |
|
|
Image Classification (Q)
|
100% |
1440
267.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1704
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2352
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
3643
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
501
39.8 IPS |
|
|
Object Detection (Q)
|
83% |
1381
111.6 IPS |
|
|
Face Detection (SP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
3474
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1985
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1991
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3388
31.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4024
5.22 IPS |
|
|
Style Transfer (HP)
|
89% |
4029
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
8824
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1112
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2042
75.7 IPS |
|
|
Text Classification (SP)
|
100% |
538
717.5 IPS |
|
|
Text Classification (HP)
|
100% |
539
718.9 IPS |
|
|
Text Classification (Q)
|
88% |
901
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
514
18.2 IPS |
