Google Pixel 8 Pro
Geekbench ML Score
2850
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 12 2024 05:15 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% |
277
51.9 IPS |
|
|
Image Classification (F16)
|
100% |
5027
940.6 IPS |
|
|
Image Classification (I8)
|
99% |
5900
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
341
5.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
9245
154.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
24647
411.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
431
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
31495
38.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
63247
76.6 IPS |
|
|
Object Detection (F32)
|
100% |
286
21.4 IPS |
|
|
Object Detection (F16)
|
100% |
3153
235.4 IPS |
|
|
Object Detection (I8)
|
65% |
3646
272.2 IPS |
|
|
Face Detection (F32)
|
100% |
658
7.82 IPS |
|
|
Face Detection (F16)
|
98% |
19328
229.8 IPS |
|
|
Face Detection (I8)
|
87% |
36093
429.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
574
4.45 IPS |
|
|
Depth Estimation (F16)
|
100% |
34449
267.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
57586
446.6 IPS |
|
|
Style Transfer (F32)
|
100% |
845
1.11 IPS |
|
|
Style Transfer (F16)
|
100% |
2010
2.64 IPS |
|
|
Style Transfer (I8)
|
28% |
3486
4.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
337
12.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10768
384.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
20448
730.3 IPS |
|
|
Text Classification (F32)
|
100% |
390
560.5 IPS |
|
|
Text Classification (F16)
|
100% |
1104
1.59 KIPS |
|
|
Text Classification (I8)
|
94% |
1169
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
614
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
615
11.3 IPS |
|
|
Machine Translation (I8)
|
64% |
564
10.4 IPS |
