Google Pixel 8a
Geekbench AI Score
359
Single Precision Score
4510
Half Precision Score
5907
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2024 01:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
246
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
3646
678.1 IPS |
|
|
Image Classification (Q)
|
99% |
5752
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
9424
152.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20201
328.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
30749
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61678
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
5084
403.2 IPS |
|
|
Object Detection (Q)
|
90% |
8201
655.7 IPS |
|
|
Face Detection (SP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (HP)
|
100% |
17515
208.1 IPS |
|
|
Face Detection (Q)
|
97% |
26983
321.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
31097
239.6 IPS |
|
|
Depth Estimation (Q)
|
70% |
33689
283.8 IPS |
|
|
Style Transfer (SP)
|
100% |
790
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
804
1.03 IPS |
|
|
Style Transfer (Q)
|
27% |
200
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9051
334.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15466
573.1 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.0 IPS |
|
|
Text Classification (HP)
|
100% |
291
389.0 IPS |
|
|
Text Classification (Q)
|
92% |
840
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (Q)
|
57% |
373
9.12 IPS |
