Google Pixel 8a
Geekbench AI Score
291
Single Precision Score
3880
Half Precision Score
5324
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:48 PM |
| Views | 11 |
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% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
3496
650.1 IPS |
|
|
Image Classification (Q)
|
99% |
5331
994.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
7208
116.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13678
222.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
30736
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62729
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
4190
332.3 IPS |
|
|
Object Detection (Q)
|
87% |
4971
398.8 IPS |
|
|
Face Detection (SP)
|
100% |
407
4.83 IPS |
|
|
Face Detection (HP)
|
100% |
16011
190.2 IPS |
|
|
Face Detection (Q)
|
97% |
27328
325.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
372
2.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
29785
229.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
31944
294.1 IPS |
|
|
Style Transfer (SP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
566
0.73 IPS |
|
|
Style Transfer (Q)
|
27% |
155
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7710
284.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12855
476.3 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.4 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.0 IPS |
|
|
Text Classification (Q)
|
92% |
1720
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
57% |
269
6.58 IPS |
