Google Pixel 9a
Geekbench AI Score
335
Single Precision Score
4330
Half Precision Score
8339
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 13 2025 12:12 AM |
| Views | 4 |
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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
4541
844.6 IPS |
|
|
Image Classification (Q)
|
99% |
9314
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
8926
144.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19190
312.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31335
36.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62630
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
4883
387.3 IPS |
|
|
Object Detection (Q)
|
87% |
6571
527.1 IPS |
|
|
Face Detection (SP)
|
100% |
440
5.23 IPS |
|
|
Face Detection (HP)
|
100% |
15031
178.6 IPS |
|
|
Face Detection (Q)
|
97% |
28803
343.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
453
3.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
31071
239.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
37888
348.8 IPS |
|
|
Style Transfer (SP)
|
100% |
580
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
580
0.75 IPS |
|
|
Style Transfer (Q)
|
72% |
2903
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
237
8.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8481
313.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16314
604.5 IPS |
|
|
Text Classification (SP)
|
100% |
304
405.1 IPS |
|
|
Text Classification (HP)
|
100% |
332
443.6 IPS |
|
|
Text Classification (Q)
|
92% |
1230
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (Q)
|
57% |
348
8.51 IPS |
