Google Pixel 8a
Geekbench AI Score
299
Single Precision Score
3727
Half Precision Score
6622
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 01:13 AM |
| Views | 2 |
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% |
181
33.7 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
99% |
4651
867.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
6521
105.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15717
255.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
274
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
29451
34.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
61976
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
3948
313.1 IPS |
|
|
Object Detection (Q)
|
87% |
4957
397.6 IPS |
|
|
Face Detection (SP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (HP)
|
100% |
11908
141.5 IPS |
|
|
Face Detection (Q)
|
97% |
27102
323.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
29923
230.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
32953
303.3 IPS |
|
|
Style Transfer (SP)
|
100% |
566
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
571
0.73 IPS |
|
|
Style Transfer (Q)
|
72% |
2492
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7684
283.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12756
472.7 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.4 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.0 IPS |
|
|
Text Classification (Q)
|
92% |
872
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
450
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.14 IPS |
