Google Pixel 8a
Geekbench AI Score
356
Single Precision Score
4268
Half Precision Score
7347
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | February 05 2025 01:49 PM |
| Views | 15 |
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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (HP)
|
100% |
4118
765.9 IPS |
|
|
Image Classification (Q)
|
99% |
5299
988.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
9267
150.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16332
265.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
342
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
31066
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
62573
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
4104
325.6 IPS |
|
|
Object Detection (Q)
|
87% |
5382
431.7 IPS |
|
|
Face Detection (SP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (HP)
|
100% |
13980
166.1 IPS |
|
|
Face Detection (Q)
|
97% |
27496
327.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
453
3.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
30734
236.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
40014
368.4 IPS |
|
|
Style Transfer (SP)
|
100% |
696
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
704
0.91 IPS |
|
|
Style Transfer (Q)
|
72% |
2819
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7980
294.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13932
516.2 IPS |
|
|
Text Classification (SP)
|
100% |
332
443.4 IPS |
|
|
Text Classification (HP)
|
100% |
343
457.9 IPS |
|
|
Text Classification (Q)
|
92% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.03 IPS |
