Google Pixel 8a
Geekbench AI Score
798
Single Precision Score
1216
Half Precision Score
948
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | luchnik |
| Upload Date | July 21 2025 02:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (Q)
|
97% |
464
86.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1582
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4937
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
11438
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10690
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (HP)
|
99% |
468
37.1 IPS |
|
|
Object Detection (Q)
|
83% |
492
39.7 IPS |
|
|
Face Detection (SP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (Q)
|
96% |
1876
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2954
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5212
40.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4106
39.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5848
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
16020
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14403
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1022
37.9 IPS |
|
|
Text Classification (SP)
|
35% |
14
128.9 IPS |
|
|
Text Classification (HP)
|
35% |
16
147.2 IPS |
|
|
Text Classification (Q)
|
33% |
13
155.8 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
43% |
104
6.06 IPS |
