Google Pixel 9a
Geekbench AI Score
1497
Single Precision Score
1340
Half Precision Score
2222
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 10:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
1492
277.5 IPS |
|
|
Image Classification (Q)
|
100% |
2399
446.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2261
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2719
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2590
3.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
5807
6.89 IPS |
|
|
Object Detection (SP)
|
98% |
1048
83.4 IPS |
|
|
Object Detection (HP)
|
98% |
1060
84.3 IPS |
|
|
Object Detection (Q)
|
83% |
1317
106.4 IPS |
|
|
Face Detection (SP)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2253
26.8 IPS |
|
|
Face Detection (Q)
|
95% |
3345
39.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2163
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1944
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3420
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4584
5.95 IPS |
|
|
Style Transfer (HP)
|
89% |
4914
6.38 IPS |
|
|
Style Transfer (Q)
|
98% |
8663
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
960
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2282
84.6 IPS |
|
|
Text Classification (SP)
|
100% |
487
649.8 IPS |
|
|
Text Classification (HP)
|
99% |
419
559.6 IPS |
|
|
Text Classification (Q)
|
88% |
776
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
403
14.3 IPS |
