Google Pixel 8a
Geekbench AI Score
539
Single Precision Score
627
Half Precision Score
593
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:31 PM |
| Views | 4 |
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% |
356
66.1 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
852
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
692
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
685
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
83% |
377
30.5 IPS |
|
|
Face Detection (SP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1309
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
1306
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
912
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
1100
8.48 IPS |
|
|
Depth Estimation (Q)
|
62% |
890
8.43 IPS |
|
|
Style Transfer (SP)
|
100% |
2530
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3258
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3248
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
494
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.7 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.1 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.7 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
57% |
161
3.94 IPS |
