Google Pixel 8a
Geekbench AI Score
369
Single Precision Score
4156
Half Precision Score
5282
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 12:12 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% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
3811
708.8 IPS |
|
|
Image Classification (Q)
|
99% |
4390
818.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
7367
119.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18746
304.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31201
36.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
62341
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
4410
349.8 IPS |
|
|
Object Detection (Q)
|
90% |
5548
443.5 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (HP)
|
100% |
15595
185.3 IPS |
|
|
Face Detection (Q)
|
97% |
26821
319.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
484
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
33462
257.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
35612
300.0 IPS |
|
|
Style Transfer (SP)
|
100% |
662
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
664
0.85 IPS |
|
|
Style Transfer (Q)
|
27% |
186
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7164
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11867
439.7 IPS |
|
|
Text Classification (SP)
|
100% |
306
408.6 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.6 IPS |
|
|
Text Classification (Q)
|
92% |
881
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.62 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
