Google Pixel 8 Pro
Geekbench ML Score
2492
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 18 2024 08:01 PM |
| Views | 2 |
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% |
253
47.3 IPS |
|
|
Image Classification (F16)
|
100% |
4563
853.8 IPS |
|
|
Image Classification (I8)
|
99% |
5388
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
310
5.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
8929
149.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
23618
394.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
376
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
31729
38.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
63613
77.0 IPS |
|
|
Object Detection (F32)
|
100% |
247
18.5 IPS |
|
|
Object Detection (F16)
|
100% |
2808
209.6 IPS |
|
|
Object Detection (I8)
|
65% |
2986
222.9 IPS |
|
|
Face Detection (F32)
|
100% |
582
6.92 IPS |
|
|
Face Detection (F16)
|
98% |
16330
194.2 IPS |
|
|
Face Detection (I8)
|
87% |
30745
365.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
518
4.02 IPS |
|
|
Depth Estimation (F16)
|
100% |
30896
239.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
45917
356.1 IPS |
|
|
Style Transfer (F32)
|
100% |
760
1.00 IPS |
|
|
Style Transfer (F16)
|
100% |
1748
2.30 IPS |
|
|
Style Transfer (I8)
|
28% |
2792
3.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
225
8.04 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10761
384.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
19324
690.1 IPS |
|
|
Text Classification (F32)
|
100% |
291
417.9 IPS |
|
|
Text Classification (F16)
|
100% |
920
1.32 KIPS |
|
|
Text Classification (I8)
|
94% |
1010
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
540
9.93 IPS |
|
|
Machine Translation (F16)
|
100% |
510
9.38 IPS |
|
|
Machine Translation (I8)
|
64% |
445
8.20 IPS |
