Google Pixel 7 Pro
Geekbench ML Score
1755
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2023 10:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 7 Pro |
| Model ID | Google Pixel 7 Pro |
| Motherboard | cheetah |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
270
28.9 IPS |
|
|
Image Classification (F16)
|
100% |
6876
736.8 IPS |
|
|
Image Classification (I8)
|
79% |
10849
1.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
375
2.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
11610
71.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
34158
211.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
319
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
5800
23.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
12912
52.2 IPS |
|
|
Object Detection (F32)
|
100% |
77
2.69 IPS |
|
|
Object Detection (F16)
|
100% |
1611
56.6 IPS |
|
|
Object Detection (I8)
|
50% |
1871
65.7 IPS |
|
|
Face Detection (F32)
|
100% |
438
5.03 IPS |
|
|
Face Detection (F16)
|
100% |
449
5.16 IPS |
|
|
Face Detection (I8)
|
75% |
24999
287.2 IPS |
|
|
Text Classification (F32)
|
100% |
1062
420.0 IPS |
|
|
Text Classification (F16)
|
100% |
1063
420.4 IPS |
|
|
Machine Translation (F32)
|
100% |
689
106.3 IPS |
|
|
Machine Translation (F16)
|
100% |
690
106.4 IPS |
