Google Pixel 9a
Geekbench AI Score
1871
Single Precision Score
1877
Half Precision Score
2842
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 09:56 PM |
| Views | 3 |
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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
1558
289.7 IPS |
|
|
Image Classification (Q)
|
100% |
2377
442.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2355
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2657
3.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
5778
6.85 IPS |
|
|
Object Detection (SP)
|
98% |
1360
108.2 IPS |
|
|
Object Detection (HP)
|
98% |
1372
109.1 IPS |
|
|
Object Detection (Q)
|
83% |
2000
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (Q)
|
95% |
4509
53.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2851
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2775
21.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4514
41.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6405
8.32 IPS |
|
|
Style Transfer (HP)
|
89% |
6373
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
12258
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3095
114.7 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.2 IPS |
|
|
Text Classification (HP)
|
99% |
636
849.2 IPS |
|
|
Text Classification (Q)
|
88% |
1099
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
627
22.3 IPS |
