Google Pixel 8a
Geekbench AI Score
582
Single Precision Score
716
Half Precision Score
663
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 29 2024 12:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.3 IPS |
|
|
Image Classification (Q)
|
99% |
330
61.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1035
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.7 IPS |
|
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
83% |
429
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
1289
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1110
8.55 IPS |
|
|
Depth Estimation (Q)
|
62% |
916
8.67 IPS |
|
|
Style Transfer (SP)
|
100% |
2520
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3352
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3267
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
586
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
556
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
167
222.3 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.2 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.3 IPS |
|
|
Machine Translation (SP)
|
100% |
534
9.19 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.79 IPS |
