Google Pixel 8a
Geekbench AI Score
362
Single Precision Score
4436
Half Precision Score
7091
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 18 2025 08:18 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% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
4757
884.7 IPS |
|
|
Image Classification (Q)
|
99% |
5496
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
6976
113.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14836
241.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
357
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31187
36.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
61841
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
4037
320.3 IPS |
|
|
Object Detection (Q)
|
87% |
5100
409.1 IPS |
|
|
Face Detection (SP)
|
100% |
603
7.16 IPS |
|
|
Face Detection (HP)
|
100% |
17437
207.2 IPS |
|
|
Face Detection (Q)
|
97% |
31009
369.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
518
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
31253
240.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
32729
301.3 IPS |
|
|
Style Transfer (SP)
|
100% |
798
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
798
1.03 IPS |
|
|
Style Transfer (Q)
|
73% |
2969
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7708
284.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12960
480.2 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.1 IPS |
|
|
Text Classification (HP)
|
100% |
384
513.2 IPS |
|
|
Text Classification (Q)
|
92% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (Q)
|
57% |
360
8.79 IPS |
