Google Pixel 7a
Geekbench AI Score
699
Single Precision Score
1026
Half Precision Score
804
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 10:58 AM |
| Views | 4 |
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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (Q)
|
97% |
250
46.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4405
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
9359
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9159
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (HP)
|
99% |
438
34.8 IPS |
|
|
Object Detection (Q)
|
83% |
435
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
1709
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
2309
27.4 IPS |
|
|
Face Detection (Q)
|
96% |
2308
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2266
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3574
27.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2851
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6491
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
15073
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14784
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1090
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1183
43.9 IPS |
|
|
Text Classification (SP)
|
35% |
9
84.3 IPS |
|
|
Text Classification (HP)
|
35% |
15
135.3 IPS |
|
|
Text Classification (Q)
|
32% |
9
120.0 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.38 IPS |
