Google Pixel 8a
Geekbench AI Score
324
Single Precision Score
4161
Half Precision Score
7565
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | seguraf17 |
| Upload Date | May 18 2025 08:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
4345
808.1 IPS |
|
|
Image Classification (Q)
|
99% |
6842
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
7468
121.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13957
226.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
333
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
30919
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62944
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
5327
422.6 IPS |
|
|
Object Detection (Q)
|
87% |
5180
415.5 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
13408
159.3 IPS |
|
|
Face Detection (Q)
|
97% |
25542
304.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
446
3.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
29008
223.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
34572
318.3 IPS |
|
|
Style Transfer (SP)
|
100% |
605
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
569
0.73 IPS |
|
|
Style Transfer (Q)
|
72% |
2926
4.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8312
306.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15647
579.8 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.3 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.6 IPS |
|
|
Text Classification (Q)
|
92% |
1525
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
