Google Pixel 9a
Geekbench AI Score
1801
Single Precision Score
1795
Half Precision Score
2677
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 12:04 AM |
| Views | 3 |
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% |
1310
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
1422
264.5 IPS |
|
|
Image Classification (Q)
|
100% |
2313
430.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2426
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2754
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
6098
7.23 IPS |
|
|
Object Detection (SP)
|
98% |
1427
113.6 IPS |
|
|
Object Detection (HP)
|
98% |
1429
113.7 IPS |
|
|
Object Detection (Q)
|
83% |
2163
174.7 IPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (Q)
|
95% |
4897
58.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3057
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3045
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4766
43.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6781
8.80 IPS |
|
|
Style Transfer (HP)
|
89% |
6823
8.86 IPS |
|
|
Style Transfer (Q)
|
98% |
12826
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1509
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3468
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
670
893.9 IPS |
|
|
Text Classification (HP)
|
99% |
665
888.3 IPS |
|
|
Text Classification (Q)
|
88% |
544
734.2 IPS |
|
|
Machine Translation (SP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
453
16.1 IPS |
