Google Pixel 8a
Geekbench AI Score
360
Single Precision Score
4050
Half Precision Score
5063
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:36 AM |
| 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% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
4053
753.8 IPS |
|
|
Image Classification (Q)
|
99% |
4381
817.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
6920
112.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15429
250.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
29921
34.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62483
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
3982
315.9 IPS |
|
|
Object Detection (Q)
|
87% |
6126
491.4 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.30 IPS |
|
|
Face Detection (HP)
|
100% |
14471
171.9 IPS |
|
|
Face Detection (Q)
|
97% |
26774
319.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
469
3.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
34318
264.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
32857
302.5 IPS |
|
|
Style Transfer (SP)
|
100% |
626
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
740
0.95 IPS |
|
|
Style Transfer (Q)
|
27% |
185
3.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
258
9.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6654
245.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11050
409.5 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.1 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.7 IPS |
|
|
Text Classification (Q)
|
92% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (Q)
|
57% |
308
7.52 IPS |
