Google Pixel 8 Pro
Geekbench ML Score
2514
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 15 2024 05:17 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% |
275
51.4 IPS |
|
|
Image Classification (F16)
|
100% |
3585
670.8 IPS |
|
|
Image Classification (I8)
|
99% |
4579
856.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
343
5.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
9432
157.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
21394
357.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
451
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
29826
36.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
59264
71.8 IPS |
|
|
Object Detection (F32)
|
100% |
286
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
2213
165.2 IPS |
|
|
Object Detection (I8)
|
65% |
2460
183.7 IPS |
|
|
Face Detection (F32)
|
100% |
655
7.79 IPS |
|
|
Face Detection (F16)
|
98% |
14258
169.5 IPS |
|
|
Face Detection (I8)
|
87% |
31732
377.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
566
4.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
28737
222.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
40563
314.6 IPS |
|
|
Style Transfer (F32)
|
100% |
859
1.13 IPS |
|
|
Style Transfer (F16)
|
100% |
1992
2.62 IPS |
|
|
Style Transfer (I8)
|
28% |
3475
4.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
331
11.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9992
356.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
19128
683.1 IPS |
|
|
Text Classification (F32)
|
100% |
391
562.6 IPS |
|
|
Text Classification (F16)
|
100% |
702
1.01 KIPS |
|
|
Text Classification (I8)
|
94% |
635
912.9 IPS |
|
|
Machine Translation (F32)
|
100% |
612
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
609
11.2 IPS |
|
|
Machine Translation (I8)
|
64% |
555
10.2 IPS |
