Google Pixel 8a
Geekbench AI Score
374
Single Precision Score
3830
Half Precision Score
4607
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 17 2024 11:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
234
43.6 IPS |
|
|
Image Classification (HP)
|
100% |
4035
750.4 IPS |
|
|
Image Classification (Q)
|
99% |
4136
771.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
7572
122.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14369
233.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
23975
28.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
48208
56.5 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
3595
285.1 IPS |
|
|
Object Detection (Q)
|
87% |
4464
358.1 IPS |
|
|
Face Detection (SP)
|
100% |
546
6.49 IPS |
|
|
Face Detection (HP)
|
100% |
11747
139.6 IPS |
|
|
Face Detection (Q)
|
97% |
23156
276.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
483
3.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
24092
185.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
26667
245.5 IPS |
|
|
Style Transfer (SP)
|
100% |
702
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
711
0.91 IPS |
|
|
Style Transfer (Q)
|
27% |
170
3.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11308
419.0 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.2 IPS |
|
|
Text Classification (HP)
|
100% |
349
466.1 IPS |
|
|
Text Classification (Q)
|
92% |
861
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.08 IPS |
