Google Pixel 8a (2024) Google Pixel 8a
Geekbench AI Score
867
Single Precision Score
1253
Half Precision Score
917
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | slimg |
| Upload Date | July 03 2025 08:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
97% |
295
55.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1586
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4925
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
11826
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11140
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
485
38.4 IPS |
|
|
Object Detection (HP)
|
99% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
83% |
531
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2091
24.9 IPS |
|
|
Face Detection (Q)
|
96% |
2111
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3253
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5220
40.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4092
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7427
9.55 IPS |
|
|
Style Transfer (HP)
|
100% |
19245
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17980
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1185
43.9 IPS |
|
|
Text Classification (SP)
|
35% |
15
133.9 IPS |
|
|
Text Classification (HP)
|
35% |
19
174.3 IPS |
|
|
Text Classification (Q)
|
32% |
12
156.1 IPS |
|
|
Machine Translation (SP)
|
100% |
237
4.09 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.04 IPS |
|
|
Machine Translation (Q)
|
43% |
69
3.98 IPS |
