Google Pixel 7 Pro
Geekbench ML Score
581
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 03 2024 05:07 AM |
| Views | 2 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
248
46.3 IPS |
|
|
Image Classification (F16)
|
100% |
236
44.2 IPS |
|
|
Image Classification (I8)
|
97% |
240
45.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
622
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
788
13.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
767
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
433
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
618
0.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
616
0.75 IPS |
|
|
Object Detection (F32)
|
100% |
228
17.0 IPS |
|
|
Object Detection (F16)
|
100% |
304
22.7 IPS |
|
|
Object Detection (I8)
|
62% |
292
21.8 IPS |
|
|
Face Detection (F32)
|
100% |
1047
12.5 IPS |
|
|
Face Detection (F16)
|
98% |
1180
14.0 IPS |
|
|
Face Detection (I8)
|
86% |
1106
13.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
764
5.93 IPS |
|
|
Depth Estimation (F16)
|
100% |
950
7.37 IPS |
|
|
Depth Estimation (I8)
|
95% |
943
7.31 IPS |
|
|
Style Transfer (F32)
|
100% |
1917
2.52 IPS |
|
|
Style Transfer (F16)
|
100% |
2542
3.34 IPS |
|
|
Style Transfer (I8)
|
98% |
2549
3.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
410
14.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
529
18.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
519
18.5 IPS |
|
|
Text Classification (F32)
|
100% |
291
418.4 IPS |
|
|
Text Classification (F16)
|
100% |
294
422.1 IPS |
|
|
Text Classification (I8)
|
92% |
495
711.2 IPS |
|
|
Machine Translation (F32)
|
100% |
465
8.55 IPS |
|
|
Machine Translation (F16)
|
100% |
444
8.16 IPS |
|
|
Machine Translation (I8)
|
64% |
431
7.93 IPS |
