Google Pixel 7
Geekbench ML Score
656
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 12 2024 07:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
381
71.3 IPS |
|
|
Image Classification (F16)
|
100% |
389
72.8 IPS |
|
|
Image Classification (I8)
|
97% |
734
137.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
450
7.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
451
7.53 IPS |
|
|
Image Segmentation (I8)
|
98% |
734
12.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
789
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
772
0.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
3014
3.65 IPS |
|
|
Object Detection (F32)
|
100% |
314
23.4 IPS |
|
|
Object Detection (F16)
|
100% |
349
26.0 IPS |
|
|
Object Detection (I8)
|
61% |
764
57.0 IPS |
|
|
Face Detection (F32)
|
100% |
705
8.38 IPS |
|
|
Face Detection (F16)
|
100% |
693
8.23 IPS |
|
|
Face Detection (I8)
|
86% |
1785
21.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
646
5.01 IPS |
|
|
Depth Estimation (F16)
|
100% |
644
4.99 IPS |
|
|
Depth Estimation (I8)
|
95% |
1604
12.4 IPS |
|
|
Style Transfer (F32)
|
100% |
1202
1.58 IPS |
|
|
Style Transfer (F16)
|
100% |
1010
1.33 IPS |
|
|
Style Transfer (I8)
|
98% |
2229
2.93 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
454
16.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
481
17.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1414
50.5 IPS |
|
|
Text Classification (F32)
|
100% |
354
509.5 IPS |
|
|
Text Classification (F16)
|
100% |
231
332.4 IPS |
|
|
Text Classification (I8)
|
92% |
228
327.0 IPS |
|
|
Machine Translation (F32)
|
100% |
683
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
658
12.1 IPS |
|
|
Machine Translation (I8)
|
64% |
323
5.94 IPS |
