Google Pixel 9a
Geekbench AI Score
1528
Single Precision Score
1535
Half Precision Score
2292
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 01:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
1469
273.1 IPS |
|
|
Image Classification (Q)
|
100% |
2414
449.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2437
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2689
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
4586
5.44 IPS |
|
|
Object Detection (SP)
|
98% |
997
79.3 IPS |
|
|
Object Detection (HP)
|
98% |
1082
86.1 IPS |
|
|
Object Detection (Q)
|
83% |
1424
115.0 IPS |
|
|
Face Detection (SP)
|
100% |
2215
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2178
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3424
40.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2157
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2152
16.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3429
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5138
6.67 IPS |
|
|
Style Transfer (HP)
|
89% |
5120
6.65 IPS |
|
|
Style Transfer (Q)
|
98% |
10179
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1087
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2425
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
449
598.8 IPS |
|
|
Text Classification (HP)
|
99% |
444
592.4 IPS |
|
|
Text Classification (Q)
|
88% |
774
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
466
16.5 IPS |
