Google Pixel 9a
Geekbench AI Score
1139
Single Precision Score
1752
Half Precision Score
1308
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | gputhread |
| Upload Date | March 03 2026 11:47 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
659
122.5 IPS |
|
|
Image Classification (HP)
|
100% |
735
136.7 IPS |
|
|
Image Classification (Q)
|
97% |
560
104.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2125
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5344
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13287
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12791
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
99% |
1071
85.0 IPS |
|
|
Object Detection (Q)
|
83% |
1011
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
2727
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (Q)
|
96% |
2984
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3690
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6370
49.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4995
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8161
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21741
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20017
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2456
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2277
84.4 IPS |
|
|
Text Classification (SP)
|
35% |
24
216.7 IPS |
|
|
Text Classification (HP)
|
35% |
28
256.3 IPS |
|
|
Text Classification (Q)
|
32% |
19
241.2 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.09 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.56 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.31 IPS |
