Google Pixel 8a
Geekbench AI Score
343
Single Precision Score
4057
Half Precision Score
7830
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | CharlesDorer |
| Upload Date | April 19 2025 03:38 AM |
| Views | 7 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
4920
914.9 IPS |
|
|
Image Classification (Q)
|
99% |
7013
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
6882
111.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15017
244.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31132
36.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
63482
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
4708
373.5 IPS |
|
|
Object Detection (Q)
|
87% |
5805
465.6 IPS |
|
|
Face Detection (SP)
|
100% |
475
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
13168
156.5 IPS |
|
|
Face Detection (Q)
|
97% |
27653
329.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
481
3.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
30765
237.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
37555
345.7 IPS |
|
|
Style Transfer (SP)
|
100% |
631
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
570
0.73 IPS |
|
|
Style Transfer (Q)
|
72% |
2962
4.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8326
307.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15320
567.7 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.9 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.7 IPS |
|
|
Text Classification (Q)
|
92% |
1645
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.03 IPS |
