Google Pixel 9a
Geekbench AI Score
341
Single Precision Score
4772
Half Precision Score
9099
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | gputhread |
| Upload Date | March 03 2026 11:56 AM |
| Views | 13 |
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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
6636
1.23 KIPS |
|
|
Image Classification (Q)
|
99% |
12194
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
8860
143.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18144
295.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
32040
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
65602
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
5707
452.7 IPS |
|
|
Object Detection (Q)
|
87% |
7401
593.7 IPS |
|
|
Face Detection (SP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (HP)
|
100% |
15909
189.0 IPS |
|
|
Face Detection (Q)
|
97% |
31556
376.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
458
3.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
34408
265.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
41614
383.1 IPS |
|
|
Style Transfer (SP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
595
0.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1741
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10503
387.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19068
706.6 IPS |
|
|
Text Classification (SP)
|
100% |
334
445.6 IPS |
|
|
Text Classification (HP)
|
100% |
334
445.5 IPS |
|
|
Text Classification (Q)
|
92% |
2270
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (Q)
|
57% |
366
8.96 IPS |
