Google Pixel 8a
Geekbench AI Score
379
Single Precision Score
4376
Half Precision Score
5652
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 06 2024 02:59 PM |
| Views | 1 |
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% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
3486
648.3 IPS |
|
|
Image Classification (Q)
|
99% |
5179
966.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
7391
119.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13661
222.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
377
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31167
36.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
61925
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
4535
359.7 IPS |
|
|
Object Detection (Q)
|
87% |
8127
651.9 IPS |
|
|
Face Detection (SP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (HP)
|
100% |
16452
195.5 IPS |
|
|
Face Detection (Q)
|
97% |
33542
399.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
514
3.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
30604
235.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
33353
307.0 IPS |
|
|
Style Transfer (SP)
|
100% |
792
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
797
1.02 IPS |
|
|
Style Transfer (Q)
|
27% |
200
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9215
340.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13168
487.9 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.7 IPS |
|
|
Text Classification (HP)
|
100% |
345
459.9 IPS |
|
|
Text Classification (Q)
|
92% |
809
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.59 IPS |
