Google Pixel 8a
Geekbench AI Score
389
Single Precision Score
4519
Half Precision Score
5595
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | porina |
| Upload Date | August 15 2024 09:37 PM |
| Views | 12 |
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% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.5 IPS |
|
|
Image Classification (Q)
|
99% |
4495
838.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
9117
147.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19361
314.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
383
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30868
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
62933
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
5118
405.9 IPS |
|
|
Object Detection (Q)
|
90% |
6050
483.7 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.03 IPS |
|
|
Face Detection (HP)
|
100% |
16464
195.6 IPS |
|
|
Face Detection (Q)
|
97% |
29192
348.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
34904
268.9 IPS |
|
|
Depth Estimation (Q)
|
70% |
36124
304.3 IPS |
|
|
Style Transfer (SP)
|
100% |
780
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
734
0.94 IPS |
|
|
Style Transfer (Q)
|
27% |
192
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8891
328.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15294
566.7 IPS |
|
|
Text Classification (SP)
|
100% |
337
449.9 IPS |
|
|
Text Classification (HP)
|
100% |
349
466.2 IPS |
|
|
Text Classification (Q)
|
92% |
857
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (Q)
|
57% |
342
8.35 IPS |
