Google Pixel 8a
Geekbench AI Score
330
Single Precision Score
3585
Half Precision Score
4699
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:48 AM |
| Views | 6 |
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% |
203
37.8 IPS |
|
|
Image Classification (HP)
|
100% |
3083
573.4 IPS |
|
|
Image Classification (Q)
|
99% |
4433
826.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
6916
112.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14531
236.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
23955
28.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
48244
56.5 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
3796
301.1 IPS |
|
|
Object Detection (Q)
|
90% |
4848
387.6 IPS |
|
|
Face Detection (SP)
|
100% |
479
5.69 IPS |
|
|
Face Detection (HP)
|
100% |
13373
158.9 IPS |
|
|
Face Detection (Q)
|
97% |
27006
322.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
450
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
24063
185.4 IPS |
|
|
Depth Estimation (Q)
|
70% |
30304
255.3 IPS |
|
|
Style Transfer (SP)
|
100% |
630
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (Q)
|
27% |
127
2.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7208
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14403
533.7 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.0 IPS |
|
|
Text Classification (HP)
|
100% |
308
411.6 IPS |
|
|
Text Classification (Q)
|
92% |
787
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
57% |
296
7.23 IPS |
