Google Pixel 7a
Geekbench AI Score
952
Single Precision Score
960
Half Precision Score
1724
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 31 2025 09:59 PM |
| Views | 11 |
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% |
526
97.8 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
100% |
1454
270.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1720
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2002
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2095
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
2795
3.31 IPS |
|
|
Object Detection (SP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
83% |
1073
86.7 IPS |
|
|
Face Detection (SP)
|
100% |
1241
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (Q)
|
95% |
2950
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1729
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1726
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2859
26.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3430
4.45 IPS |
|
|
Style Transfer (HP)
|
89% |
3185
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
6785
8.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
995
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1750
64.9 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.3 IPS |
|
|
Text Classification (HP)
|
100% |
516
688.6 IPS |
|
|
Text Classification (Q)
|
88% |
779
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
398
14.1 IPS |
