Google Pixel 7 Pro
Geekbench ML Score
2267
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 20 2024 02:30 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% |
351
37.6 IPS |
|
|
Image Classification (F16)
|
100% |
6593
706.4 IPS |
|
|
Image Classification (I8)
|
79% |
11828
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
605
3.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
10715
66.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
33246
205.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
293
1.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
5816
23.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
13203
53.4 IPS |
|
|
Object Detection (F32)
|
100% |
447
15.7 IPS |
|
|
Object Detection (F16)
|
100% |
3955
138.8 IPS |
|
|
Object Detection (I8)
|
50% |
6265
219.8 IPS |
|
|
Face Detection (F32)
|
100% |
516
5.93 IPS |
|
|
Face Detection (F16)
|
100% |
505
5.80 IPS |
|
|
Face Detection (I8)
|
75% |
24313
279.3 IPS |
|
|
Text Classification (F32)
|
100% |
1030
407.4 IPS |
|
|
Text Classification (F16)
|
100% |
1253
495.8 IPS |
|
|
Machine Translation (F32)
|
100% |
691
106.5 IPS |
|
|
Machine Translation (F16)
|
100% |
685
105.6 IPS |
