Google Pixel 7 Pro
Geekbench ML Score
507
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 03 2024 04:57 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
257
48.1 IPS |
|
|
Image Classification (F16)
|
100% |
269
50.3 IPS |
|
|
Image Classification (I8)
|
97% |
604
113.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
356
5.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
353
5.90 IPS |
|
|
Image Segmentation (I8)
|
98% |
613
10.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
606
0.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
580
0.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
3272
3.96 IPS |
|
|
Object Detection (F32)
|
100% |
249
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
247
18.5 IPS |
|
|
Object Detection (I8)
|
61% |
556
41.5 IPS |
|
|
Face Detection (F32)
|
100% |
555
6.59 IPS |
|
|
Face Detection (F16)
|
100% |
515
6.13 IPS |
|
|
Face Detection (I8)
|
86% |
1140
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
504
3.91 IPS |
|
|
Depth Estimation (F16)
|
100% |
447
3.46 IPS |
|
|
Depth Estimation (I8)
|
95% |
864
6.70 IPS |
|
|
Style Transfer (F32)
|
100% |
883
1.16 IPS |
|
|
Style Transfer (F16)
|
100% |
765
1.01 IPS |
|
|
Style Transfer (I8)
|
98% |
1875
2.47 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
341
12.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
347
12.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1095
39.1 IPS |
|
|
Text Classification (F32)
|
100% |
272
391.0 IPS |
|
|
Text Classification (F16)
|
100% |
275
394.5 IPS |
|
|
Text Classification (I8)
|
92% |
241
346.8 IPS |
|
|
Machine Translation (F32)
|
100% |
511
9.41 IPS |
|
|
Machine Translation (F16)
|
100% |
439
8.08 IPS |
|
|
Machine Translation (I8)
|
64% |
272
5.00 IPS |
