Google Pixel 8a
Geekbench AI Score
298
Single Precision Score
3985
Half Precision Score
7294
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2025 04:03 PM |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (HP)
|
100% |
4035
750.4 IPS |
|
|
Image Classification (Q)
|
99% |
6057
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
7470
121.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14250
231.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
273
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
30908
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
63074
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4636
367.7 IPS |
|
|
Object Detection (Q)
|
87% |
5427
435.3 IPS |
|
|
Face Detection (SP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (HP)
|
100% |
14035
166.8 IPS |
|
|
Face Detection (Q)
|
97% |
26517
316.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
407
3.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
29764
229.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
39852
366.9 IPS |
|
|
Style Transfer (SP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (Q)
|
73% |
2373
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8469
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15098
559.4 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.8 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.5 IPS |
|
|
Text Classification (Q)
|
92% |
1460
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.90 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.37 IPS |
