Google Pixel 8a
Geekbench AI Score
303
Single Precision Score
3908
Half Precision Score
7440
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 01:38 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% |
200
37.1 IPS |
|
|
Image Classification (HP)
|
100% |
4039
751.2 IPS |
|
|
Image Classification (Q)
|
99% |
6116
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
7736
125.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16078
261.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
30654
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63152
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
4187
332.1 IPS |
|
|
Object Detection (Q)
|
87% |
5281
423.6 IPS |
|
|
Face Detection (SP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (HP)
|
100% |
12177
144.7 IPS |
|
|
Face Detection (Q)
|
97% |
26841
320.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
367
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
31194
240.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
38111
350.8 IPS |
|
|
Style Transfer (SP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
574
0.74 IPS |
|
|
Style Transfer (Q)
|
73% |
2677
3.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8463
312.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15352
568.9 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.5 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.9 IPS |
|
|
Text Classification (Q)
|
92% |
1314
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
415
7.14 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.01 IPS |
