Google Pixel 9a
Geekbench AI Score
1118
Single Precision Score
1735
Half Precision Score
1284
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 31 2025 09:49 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
633
117.8 IPS |
|
|
Image Classification (HP)
|
100% |
785
145.9 IPS |
|
|
Image Classification (Q)
|
97% |
652
121.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1552
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5334
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
13894
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13080
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
99% |
1003
79.5 IPS |
|
|
Object Detection (Q)
|
83% |
1030
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (Q)
|
96% |
2825
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3675
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6231
48.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4888
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8152
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21470
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20038
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2467
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2278
84.4 IPS |
|
|
Text Classification (SP)
|
35% |
21
191.4 IPS |
|
|
Text Classification (HP)
|
35% |
30
275.7 IPS |
|
|
Text Classification (Q)
|
32% |
19
246.9 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.37 IPS |
