Google Pixel 8a
Geekbench AI Score
364
Single Precision Score
4183
Half Precision Score
7965
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 36cea |
| Upload Date | March 23 2025 03:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
4354
809.8 IPS |
|
|
Image Classification (Q)
|
99% |
6369
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
9055
146.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16605
270.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
347
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
30307
35.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
61067
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
4051
321.3 IPS |
|
|
Object Detection (Q)
|
87% |
9454
758.4 IPS |
|
|
Face Detection (SP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (HP)
|
100% |
15155
180.1 IPS |
|
|
Face Detection (Q)
|
97% |
28551
340.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
27231
209.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
39592
364.5 IPS |
|
|
Style Transfer (SP)
|
100% |
665
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (Q)
|
72% |
2698
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8223
303.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17771
658.5 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.6 IPS |
|
|
Text Classification (HP)
|
100% |
347
463.8 IPS |
|
|
Text Classification (Q)
|
92% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (Q)
|
57% |
338
8.27 IPS |
