Google Pixel 7 Pro
Geekbench ML Score
361
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 16 2023 02:39 AM |
| Views | 3 |
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 | 11.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
106
11.4 IPS |
|
|
Image Classification (F16)
|
100% |
88
9.48 IPS |
|
|
Image Classification (I8)
|
81% |
276
29.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
502
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
487
3.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
695
4.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
320
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
317
1.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
212
0.86 IPS |
|
|
Object Detection (F32)
|
100% |
141
4.96 IPS |
|
|
Object Detection (F16)
|
100% |
128
4.51 IPS |
|
|
Object Detection (I8)
|
52% |
325
11.4 IPS |
|
|
Face Detection (F32)
|
100% |
562
6.46 IPS |
|
|
Face Detection (F16)
|
100% |
581
6.67 IPS |
|
|
Face Detection (I8)
|
75% |
517
5.94 IPS |
|
|
Text Classification (F32)
|
100% |
938
371.0 IPS |
|
|
Text Classification (F16)
|
100% |
976
386.2 IPS |
|
|
Machine Translation (F32)
|
100% |
693
106.7 IPS |
|
|
Machine Translation (F16)
|
100% |
692
106.7 IPS |
