Google Pixel 8a
Geekbench AI Score
394
Single Precision Score
4509
Half Precision Score
7182
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 11:19 AM |
| Views | 2 |
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% |
269
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
3917
728.5 IPS |
|
|
Image Classification (Q)
|
99% |
5569
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
8690
140.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15598
253.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
394
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31797
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62085
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
4143
328.6 IPS |
|
|
Object Detection (Q)
|
87% |
5023
402.9 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.04 IPS |
|
|
Face Detection (HP)
|
100% |
16516
196.2 IPS |
|
|
Face Detection (Q)
|
97% |
30392
362.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
526
4.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
31447
242.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
36170
333.0 IPS |
|
|
Style Transfer (SP)
|
100% |
814
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
803
1.03 IPS |
|
|
Style Transfer (Q)
|
73% |
3041
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8439
311.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12919
478.7 IPS |
|
|
Text Classification (SP)
|
100% |
355
473.5 IPS |
|
|
Text Classification (HP)
|
100% |
391
521.5 IPS |
|
|
Text Classification (Q)
|
92% |
791
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
579
9.96 IPS |
|
|
Machine Translation (HP)
|
100% |
564
9.72 IPS |
|
|
Machine Translation (Q)
|
57% |
395
9.65 IPS |
