Google Pixel 7
Geekbench ML Score
2054
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 19 2024 06:57 AM |
| Views | 10 |
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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
220
41.2 IPS |
|
|
Image Classification (F16)
|
100% |
5519
1.03 KIPS |
|
|
Image Classification (I8)
|
99% |
8449
1.58 KIPS |
|
|
Image Segmentation (F32)
|
100% |
281
4.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
5261
87.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
9260
154.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
368
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
20106
24.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
37330
45.2 IPS |
|
|
Object Detection (F32)
|
100% |
217
16.2 IPS |
|
|
Object Detection (F16)
|
100% |
3144
234.7 IPS |
|
|
Object Detection (I8)
|
65% |
3801
283.8 IPS |
|
|
Face Detection (F32)
|
100% |
496
5.89 IPS |
|
|
Face Detection (F16)
|
100% |
496
5.90 IPS |
|
|
Face Detection (I8)
|
87% |
31165
370.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
435
3.37 IPS |
|
|
Depth Estimation (F16)
|
100% |
23211
180.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
39738
308.2 IPS |
|
|
Style Transfer (F32)
|
100% |
690
0.91 IPS |
|
|
Style Transfer (F16)
|
100% |
1620
2.13 IPS |
|
|
Style Transfer (I8)
|
28% |
3079
4.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
233
8.31 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6825
243.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
14994
535.5 IPS |
|
|
Text Classification (F32)
|
100% |
280
402.0 IPS |
|
|
Text Classification (F16)
|
100% |
1854
2.66 KIPS |
|
|
Text Classification (I8)
|
94% |
2289
3.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
462
8.50 IPS |
|
|
Machine Translation (F16)
|
100% |
445
8.18 IPS |
|
|
Machine Translation (I8)
|
64% |
389
7.15 IPS |
