Google Pixel 8 Pro
Geekbench ML Score
378
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 03 2024 04:11 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
439
82.2 IPS |
|
|
Image Classification (F16)
|
100% |
436
81.5 IPS |
|
|
Image Classification (I8)
|
97% |
741
138.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
521
8.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
528
8.82 IPS |
|
|
Image Segmentation (I8)
|
98% |
431
7.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
879
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
816
0.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
2400
2.91 IPS |
|
|
Object Detection (F32)
|
100% |
192
14.3 IPS |
|
|
Object Detection (F16)
|
100% |
192
14.3 IPS |
|
|
Object Detection (I8)
|
61% |
275
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
343
4.08 IPS |
|
|
Face Detection (F16)
|
100% |
362
4.31 IPS |
|
|
Face Detection (I8)
|
86% |
401
4.76 IPS |
|
|
Depth Estimation (F32)
|
100% |
405
3.14 IPS |
|
|
Depth Estimation (F16)
|
100% |
382
2.97 IPS |
|
|
Depth Estimation (I8)
|
95% |
541
4.19 IPS |
|
|
Style Transfer (F32)
|
100% |
1077
1.42 IPS |
|
|
Style Transfer (F16)
|
100% |
1119
1.47 IPS |
|
|
Style Transfer (I8)
|
98% |
1798
2.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
211
7.53 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
169
6.04 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
339
12.1 IPS |
|
|
Text Classification (F32)
|
100% |
94
135.3 IPS |
|
|
Text Classification (F16)
|
100% |
105
150.3 IPS |
|
|
Text Classification (I8)
|
92% |
86
123.0 IPS |
|
|
Machine Translation (F32)
|
100% |
233
4.29 IPS |
|
|
Machine Translation (F16)
|
100% |
229
4.21 IPS |
|
|
Machine Translation (I8)
|
64% |
146
2.69 IPS |
