Google Pixel 8a
Geekbench AI Score
302
Single Precision Score
4125
Half Precision Score
7661
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:35 AM |
| Views | 3 |
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% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
5315
988.4 IPS |
|
|
Image Classification (Q)
|
99% |
8055
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
7509
121.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15914
258.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
278
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
30605
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
63572
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
4661
369.7 IPS |
|
|
Object Detection (Q)
|
87% |
5289
424.3 IPS |
|
|
Face Detection (SP)
|
100% |
429
5.10 IPS |
|
|
Face Detection (HP)
|
100% |
14027
166.7 IPS |
|
|
Face Detection (Q)
|
97% |
33589
400.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
31243
240.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
34515
317.7 IPS |
|
|
Style Transfer (SP)
|
100% |
580
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
572
0.73 IPS |
|
|
Style Transfer (Q)
|
73% |
2140
2.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8751
323.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14922
552.9 IPS |
|
|
Text Classification (SP)
|
100% |
294
391.9 IPS |
|
|
Text Classification (HP)
|
100% |
292
390.4 IPS |
|
|
Text Classification (Q)
|
92% |
1693
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
386
6.65 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
57% |
258
6.30 IPS |
