Google Pixel 8a
Geekbench AI Score
352
Single Precision Score
3940
Half Precision Score
6727
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 28 2024 11:25 AM |
| Views | 3 |
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% |
228
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
3721
692.0 IPS |
|
|
Image Classification (Q)
|
99% |
4979
928.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
7639
123.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17793
289.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
310
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
30676
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
61521
72.0 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
3932
311.9 IPS |
|
|
Object Detection (Q)
|
87% |
5003
401.3 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.47 IPS |
|
|
Face Detection (HP)
|
100% |
13825
164.3 IPS |
|
|
Face Detection (Q)
|
97% |
24791
295.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
29166
224.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
31021
285.6 IPS |
|
|
Style Transfer (SP)
|
100% |
650
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
628
0.81 IPS |
|
|
Style Transfer (Q)
|
72% |
2757
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7697
284.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12646
468.6 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.1 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.7 IPS |
|
|
Text Classification (Q)
|
92% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
57% |
326
7.97 IPS |
