Google Pixel 9a
Geekbench AI Score
1864
Single Precision Score
2079
Half Precision Score
2993
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | gputhread |
| Upload Date | March 03 2026 11:43 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| 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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1187
220.8 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
99% |
2059
384.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2486
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2696
3.15 IPS |
|
|
Pose Estimation (HP)
|
92% |
5439
6.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
6063
7.10 IPS |
|
|
Object Detection (SP)
|
98% |
1401
111.5 IPS |
|
|
Object Detection (HP)
|
97% |
949
75.5 IPS |
|
|
Object Detection (Q)
|
85% |
1988
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (Q)
|
97% |
4862
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2949
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4428
34.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4721
43.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6692
8.69 IPS |
|
|
Style Transfer (HP)
|
88% |
6589
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
13109
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2487
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3526
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
653
872.1 IPS |
|
|
Text Classification (HP)
|
100% |
1039
1.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1075
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1196
20.7 IPS |
|
|
Machine Translation (Q)
|
55% |
822
22.1 IPS |
