Google Pixel 8a
Geekbench AI Score
401
Single Precision Score
4345
Half Precision Score
7680
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | septs |
| Upload Date | December 26 2024 06:17 AM |
| Views | 4 |
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% |
267
49.6 IPS |
|
|
Image Classification (HP)
|
100% |
5407
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
5779
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
6983
113.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16453
267.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
407
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
31357
36.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62074
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
4149
329.1 IPS |
|
|
Object Detection (Q)
|
87% |
4843
388.5 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.04 IPS |
|
|
Face Detection (HP)
|
100% |
12807
152.2 IPS |
|
|
Face Detection (Q)
|
97% |
27222
324.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
29878
230.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
33524
308.6 IPS |
|
|
Style Transfer (SP)
|
100% |
777
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
787
1.01 IPS |
|
|
Style Transfer (Q)
|
72% |
3102
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8250
304.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15658
580.2 IPS |
|
|
Text Classification (SP)
|
100% |
373
498.5 IPS |
|
|
Text Classification (HP)
|
100% |
376
501.9 IPS |
|
|
Text Classification (Q)
|
92% |
1806
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
57% |
312
7.62 IPS |
