Google Pixel 8a
Geekbench AI Score
296
Single Precision Score
3663
Half Precision Score
6633
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 29 2024 12:42 PM |
| Views | 8 |
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% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
3531
656.6 IPS |
|
|
Image Classification (Q)
|
99% |
6267
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
7996
129.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13578
220.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
29725
34.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
62300
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
4011
318.1 IPS |
|
|
Object Detection (Q)
|
87% |
5487
440.1 IPS |
|
|
Face Detection (SP)
|
100% |
476
5.66 IPS |
|
|
Face Detection (HP)
|
100% |
14143
168.0 IPS |
|
|
Face Detection (Q)
|
97% |
24716
294.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
375
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
28168
217.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
32538
299.5 IPS |
|
|
Style Transfer (SP)
|
100% |
570
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (Q)
|
73% |
2560
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7701
284.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12662
469.2 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.5 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.5 IPS |
|
|
Text Classification (Q)
|
92% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
57% |
274
6.70 IPS |
