Google Pixel 8a
Geekbench AI Score
886
Single Precision Score
1327
Half Precision Score
1010
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 12:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
392
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
97% |
377
70.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1724
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4923
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
12168
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11614
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
477
37.9 IPS |
|
|
Object Detection (HP)
|
99% |
516
40.9 IPS |
|
|
Object Detection (Q)
|
83% |
523
42.2 IPS |
|
|
Face Detection (SP)
|
100% |
2041
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (Q)
|
96% |
2233
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3224
24.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5302
41.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4197
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7511
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
19113
24.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18338
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1276
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2120
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1985
73.6 IPS |
|
|
Text Classification (SP)
|
35% |
17
151.4 IPS |
|
|
Text Classification (HP)
|
35% |
20
180.5 IPS |
|
|
Text Classification (Q)
|
32% |
12
157.9 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.14 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
43% |
69
4.00 IPS |
