Google Pixel 8
Geekbench ML Score
2550
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 22 2024 02:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
261
48.8 IPS |
|
|
Image Classification (F16)
|
100% |
4231
791.7 IPS |
|
|
Image Classification (I8)
|
99% |
4378
819.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
296
4.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
8967
149.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
23129
386.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
389
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
29930
36.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
60231
72.9 IPS |
|
|
Object Detection (F32)
|
100% |
254
19.0 IPS |
|
|
Object Detection (F16)
|
100% |
3190
238.2 IPS |
|
|
Object Detection (I8)
|
65% |
3585
267.6 IPS |
|
|
Face Detection (F32)
|
100% |
581
6.90 IPS |
|
|
Face Detection (F16)
|
98% |
16031
190.6 IPS |
|
|
Face Detection (I8)
|
87% |
31860
378.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
512
3.97 IPS |
|
|
Depth Estimation (F16)
|
100% |
29946
232.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
47299
366.8 IPS |
|
|
Style Transfer (F32)
|
100% |
781
1.03 IPS |
|
|
Style Transfer (F16)
|
100% |
1849
2.43 IPS |
|
|
Style Transfer (I8)
|
28% |
3145
4.14 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
281
10.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10906
389.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
19632
701.1 IPS |
|
|
Text Classification (F32)
|
100% |
346
497.1 IPS |
|
|
Text Classification (F16)
|
100% |
947
1.36 KIPS |
|
|
Text Classification (I8)
|
94% |
959
1.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
532
9.80 IPS |
|
|
Machine Translation (F16)
|
100% |
527
9.70 IPS |
|
|
Machine Translation (I8)
|
64% |
503
9.25 IPS |
