Google Pixel 8a
Geekbench AI Score
312
Single Precision Score
4205
Half Precision Score
7922
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2025 09:22 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (HP)
|
100% |
5636
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
7577
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
7692
124.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14434
234.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
30721
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
62713
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
4268
338.6 IPS |
|
|
Object Detection (Q)
|
87% |
7531
604.1 IPS |
|
|
Face Detection (SP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (HP)
|
100% |
20791
247.0 IPS |
|
|
Face Detection (Q)
|
97% |
27241
324.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
29198
225.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
34214
315.0 IPS |
|
|
Style Transfer (SP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
565
0.73 IPS |
|
|
Style Transfer (Q)
|
73% |
2933
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
215
7.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7902
291.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14924
553.0 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.1 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.9 IPS |
|
|
Text Classification (Q)
|
92% |
1656
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.82 IPS |
