Google Pixel 8 Pro
Geekbench ML Score
2890
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 21 2023 10:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| 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 | 11.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
280
52.4 IPS |
|
|
Image Classification (F16)
|
100% |
4965
929.0 IPS |
|
|
Image Classification (I8)
|
99% |
5951
1.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
346
5.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
9723
162.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
24252
405.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
457
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
30536
37.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
62047
75.1 IPS |
|
|
Object Detection (F32)
|
100% |
288
21.5 IPS |
|
|
Object Detection (F16)
|
100% |
3155
235.5 IPS |
|
|
Object Detection (I8)
|
65% |
3586
267.7 IPS |
|
|
Face Detection (F32)
|
100% |
658
7.83 IPS |
|
|
Face Detection (F16)
|
98% |
18976
225.6 IPS |
|
|
Face Detection (I8)
|
87% |
38325
455.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
593
4.60 IPS |
|
|
Depth Estimation (F16)
|
100% |
32331
250.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
57203
443.6 IPS |
|
|
Style Transfer (F32)
|
100% |
840
1.10 IPS |
|
|
Style Transfer (F16)
|
100% |
2016
2.65 IPS |
|
|
Style Transfer (I8)
|
28% |
3486
4.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
339
12.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10929
390.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
19883
710.1 IPS |
|
|
Text Classification (F32)
|
100% |
389
559.5 IPS |
|
|
Text Classification (F16)
|
100% |
1110
1.60 KIPS |
|
|
Text Classification (I8)
|
94% |
1649
2.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
615
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
620
11.4 IPS |
|
|
Machine Translation (I8)
|
64% |
569
10.5 IPS |
