Google Pixel 8a
Geekbench AI Score
347
Single Precision Score
4089
Half Precision Score
5097
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 02 2024 09:11 AM |
| Views | 12 |
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% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
3443
640.4 IPS |
|
|
Image Classification (Q)
|
99% |
4628
863.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
8946
145.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14577
237.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
300
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
29835
34.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
62577
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
4786
379.6 IPS |
|
|
Object Detection (Q)
|
87% |
4711
377.9 IPS |
|
|
Face Detection (SP)
|
100% |
552
6.56 IPS |
|
|
Face Detection (HP)
|
100% |
13043
155.0 IPS |
|
|
Face Detection (Q)
|
97% |
29799
355.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
478
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
28333
218.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
33790
311.1 IPS |
|
|
Style Transfer (SP)
|
100% |
663
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
634
0.81 IPS |
|
|
Style Transfer (Q)
|
27% |
175
3.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7934
293.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13220
489.8 IPS |
|
|
Text Classification (SP)
|
100% |
350
466.8 IPS |
|
|
Text Classification (HP)
|
100% |
351
469.1 IPS |
|
|
Text Classification (Q)
|
92% |
872
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
57% |
293
7.17 IPS |
