Google Pixel 7
Geekbench ML Score
2072
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 15 2024 04:21 PM |
| 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
219
41.0 IPS |
|
|
Image Classification (F16)
|
100% |
5388
1.01 KIPS |
|
|
Image Classification (I8)
|
99% |
8268
1.55 KIPS |
|
|
Image Segmentation (F32)
|
100% |
279
4.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
4942
82.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
9073
151.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
372
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
20206
24.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
36429
44.1 IPS |
|
|
Object Detection (F32)
|
100% |
229
17.1 IPS |
|
|
Object Detection (F16)
|
100% |
3116
232.6 IPS |
|
|
Object Detection (I8)
|
65% |
3789
282.8 IPS |
|
|
Face Detection (F32)
|
100% |
511
6.08 IPS |
|
|
Face Detection (F16)
|
100% |
511
6.08 IPS |
|
|
Face Detection (I8)
|
87% |
31501
374.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
458
3.55 IPS |
|
|
Depth Estimation (F16)
|
100% |
23389
181.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
39471
306.1 IPS |
|
|
Style Transfer (F32)
|
100% |
717
0.94 IPS |
|
|
Style Transfer (F16)
|
100% |
1634
2.15 IPS |
|
|
Style Transfer (I8)
|
28% |
3200
4.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
245
8.76 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6807
243.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
15015
536.2 IPS |
|
|
Text Classification (F32)
|
100% |
314
451.0 IPS |
|
|
Text Classification (F16)
|
100% |
1646
2.36 KIPS |
|
|
Text Classification (I8)
|
94% |
1869
2.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
502
9.25 IPS |
|
|
Machine Translation (F16)
|
100% |
496
9.12 IPS |
|
|
Machine Translation (I8)
|
64% |
441
8.11 IPS |
