Google Pixel 7a
Geekbench AI Score
747
Single Precision Score
1102
Half Precision Score
906
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 02:39 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.7 IPS |
|
|
Image Classification (Q)
|
97% |
567
105.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1555
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4516
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
9841
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9048
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
99% |
442
35.1 IPS |
|
|
Object Detection (Q)
|
83% |
459
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
2256
26.8 IPS |
|
|
Face Detection (Q)
|
96% |
2294
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2326
17.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3616
27.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2823
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6612
8.50 IPS |
|
|
Style Transfer (HP)
|
100% |
15944
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15112
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1201
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1410
52.3 IPS |
|
|
Text Classification (SP)
|
35% |
14
124.1 IPS |
|
|
Text Classification (HP)
|
35% |
16
146.5 IPS |
|
|
Text Classification (Q)
|
32% |
10
125.3 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.32 IPS |
