Google Pixel 9a
Geekbench AI Score
1629
Single Precision Score
1622
Half Precision Score
2108
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 04:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1561
290.4 IPS |
|
|
Image Classification (HP)
|
100% |
1554
289.1 IPS |
|
|
Image Classification (Q)
|
100% |
2267
421.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2422
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2746
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2651
3.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
5795
6.87 IPS |
|
|
Object Detection (SP)
|
98% |
1161
92.4 IPS |
|
|
Object Detection (HP)
|
98% |
1274
101.4 IPS |
|
|
Object Detection (Q)
|
83% |
1085
87.6 IPS |
|
|
Face Detection (SP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
2565
30.5 IPS |
|
|
Face Detection (Q)
|
95% |
3422
40.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2296
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2257
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3467
31.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5211
6.77 IPS |
|
|
Style Transfer (HP)
|
89% |
5202
6.75 IPS |
|
|
Style Transfer (Q)
|
98% |
9757
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2448
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.4 IPS |
|
|
Text Classification (HP)
|
99% |
435
581.2 IPS |
|
|
Text Classification (Q)
|
88% |
344
463.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
516
18.3 IPS |
