Google Pixel 9a
Geekbench AI Score
307
Single Precision Score
4526
Half Precision Score
8722
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | EriksLV |
| Upload Date | March 26 2026 04:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
6729
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
10127
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
9454
153.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18585
302.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
260
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
30803
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
65900
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
5516
437.5 IPS |
|
|
Object Detection (Q)
|
87% |
7200
577.6 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
13574
161.3 IPS |
|
|
Face Detection (Q)
|
97% |
30674
365.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
476
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
34455
265.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
41218
379.4 IPS |
|
|
Style Transfer (SP)
|
100% |
628
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1513
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10402
384.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19373
717.9 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.4 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.1 IPS |
|
|
Text Classification (Q)
|
92% |
2666
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (Q)
|
57% |
289
7.07 IPS |
