Google Pixel 8a
Geekbench AI Score
990
Single Precision Score
943
Half Precision Score
1518
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
1454
270.4 IPS |
|
|
Image Classification (Q)
|
100% |
2470
459.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2400
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2114
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
3345
3.97 IPS |
|
|
Object Detection (SP)
|
98% |
475
37.8 IPS |
|
|
Object Detection (HP)
|
98% |
474
37.7 IPS |
|
|
Object Detection (Q)
|
87% |
818
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
1753
20.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1140
8.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
1175
9.08 IPS |
|
|
Depth Estimation (Q)
|
75% |
2009
16.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3510
4.56 IPS |
|
|
Style Transfer (HP)
|
89% |
3655
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
4453
5.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
564
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1248
46.2 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.1 IPS |
|
|
Text Classification (HP)
|
99% |
237
315.7 IPS |
|
|
Text Classification (Q)
|
88% |
415
559.2 IPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
494
17.5 IPS |
