Google Pixel 8a
Geekbench AI Score
336
Single Precision Score
3894
Half Precision Score
4965
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:44 PM |
| Views | 19 |
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% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
3594
668.4 IPS |
|
|
Image Classification (Q)
|
99% |
4950
923.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
7636
123.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14250
231.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
344
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
30107
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
61960
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
4079
323.6 IPS |
|
|
Object Detection (Q)
|
87% |
4646
372.7 IPS |
|
|
Face Detection (SP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (HP)
|
100% |
14544
172.8 IPS |
|
|
Face Detection (Q)
|
97% |
29046
346.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
374
2.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
29324
225.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
31362
288.7 IPS |
|
|
Style Transfer (SP)
|
100% |
591
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
592
0.76 IPS |
|
|
Style Transfer (Q)
|
27% |
155
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7769
286.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13100
485.4 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.9 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.4 IPS |
|
|
Text Classification (Q)
|
92% |
828
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
450
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (Q)
|
57% |
293
7.17 IPS |
