Google Pixel 9a
Geekbench AI Score
362
Single Precision Score
4735
Half Precision Score
8722
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 08:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
242
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
7376
1.37 KIPS |
|
|
Image Classification (Q)
|
99% |
10782
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
8528
138.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18478
300.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
32040
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
65576
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
5640
447.4 IPS |
|
|
Object Detection (Q)
|
87% |
7411
594.5 IPS |
|
|
Face Detection (SP)
|
100% |
552
6.56 IPS |
|
|
Face Detection (HP)
|
100% |
17052
202.6 IPS |
|
|
Face Detection (Q)
|
97% |
34744
414.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
484
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
34392
265.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
47018
432.8 IPS |
|
|
Style Transfer (SP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
543
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1623
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10287
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19167
710.2 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.7 IPS |
|
|
Text Classification (HP)
|
100% |
345
460.5 IPS |
|
|
Text Classification (Q)
|
92% |
2367
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
505
8.71 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
57% |
219
5.35 IPS |
