Google Pixel 9a
Geekbench AI Score
1710
Single Precision Score
1711
Half Precision Score
2548
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 10:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 9a |
| Model ID | Google Pixel 9a |
| Motherboard | tegu |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (Q)
|
100% |
2380
442.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2388
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2897
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2784
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
6040
7.16 IPS |
|
|
Object Detection (SP)
|
98% |
1455
115.8 IPS |
|
|
Object Detection (HP)
|
98% |
1448
115.2 IPS |
|
|
Object Detection (Q)
|
83% |
1954
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (Q)
|
95% |
4774
57.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2784
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2652
20.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4117
37.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5319
6.90 IPS |
|
|
Style Transfer (HP)
|
89% |
5268
6.84 IPS |
|
|
Style Transfer (Q)
|
98% |
9981
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1112
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2350
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.7 IPS |
|
|
Text Classification (HP)
|
99% |
459
612.9 IPS |
|
|
Text Classification (Q)
|
88% |
768
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.2 IPS |
