Google Pixel 8a
Geekbench AI Score
331
Single Precision Score
4212
Half Precision Score
7635
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | March 21 2025 04:07 PM |
| Views | 17 |
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% |
176
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
5775
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
6448
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
6565
106.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16638
270.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
345
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
31811
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
63724
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
4418
350.4 IPS |
|
|
Object Detection (Q)
|
87% |
5237
420.1 IPS |
|
|
Face Detection (SP)
|
100% |
538
6.40 IPS |
|
|
Face Detection (HP)
|
100% |
14114
167.7 IPS |
|
|
Face Detection (Q)
|
97% |
25543
304.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
476
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
28920
222.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
34551
318.1 IPS |
|
|
Style Transfer (SP)
|
100% |
717
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
573
0.74 IPS |
|
|
Style Transfer (Q)
|
73% |
2958
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8291
306.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14379
532.8 IPS |
|
|
Text Classification (SP)
|
100% |
339
451.9 IPS |
|
|
Text Classification (HP)
|
100% |
342
457.1 IPS |
|
|
Text Classification (Q)
|
92% |
1457
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (Q)
|
57% |
344
8.39 IPS |
