Google Pixel 6 Pro
Geekbench ML Score
635
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 06 2024 08:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| 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 @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
293
54.8 IPS |
|
|
Image Classification (F16)
|
100% |
454
85.0 IPS |
|
|
Image Classification (I8)
|
97% |
423
79.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
632
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1016
17.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
940
15.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
327
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
425
0.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
423
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
300
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
427
31.9 IPS |
|
|
Object Detection (I8)
|
62% |
339
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (F16)
|
98% |
1927
22.9 IPS |
|
|
Face Detection (I8)
|
86% |
1923
22.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
652
5.06 IPS |
|
|
Depth Estimation (F16)
|
100% |
722
5.60 IPS |
|
|
Depth Estimation (I8)
|
95% |
773
6.00 IPS |
|
|
Style Transfer (F32)
|
100% |
1373
1.81 IPS |
|
|
Style Transfer (F16)
|
100% |
2532
3.33 IPS |
|
|
Style Transfer (I8)
|
98% |
2534
3.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
432
15.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
665
23.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
657
23.5 IPS |
|
|
Text Classification (F32)
|
100% |
294
422.6 IPS |
|
|
Text Classification (F16)
|
100% |
292
419.9 IPS |
|
|
Text Classification (I8)
|
92% |
505
725.9 IPS |
|
|
Machine Translation (F32)
|
100% |
466
8.57 IPS |
|
|
Machine Translation (F16)
|
100% |
460
8.46 IPS |
|
|
Machine Translation (I8)
|
64% |
459
8.45 IPS |
