Google Pixel 7
Geekbench ML Score
1683
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 19 2024 04:32 AM |
| Views | 3 |
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% |
211
39.4 IPS |
|
|
Image Classification (F16)
|
100% |
4709
881.1 IPS |
|
|
Image Classification (I8)
|
99% |
7358
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
265
4.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
4485
74.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
7763
129.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
331
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
15990
19.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
29484
35.7 IPS |
|
|
Object Detection (F32)
|
100% |
186
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
2581
192.7 IPS |
|
|
Object Detection (I8)
|
65% |
3242
242.0 IPS |
|
|
Face Detection (F32)
|
100% |
433
5.15 IPS |
|
|
Face Detection (F16)
|
100% |
359
4.27 IPS |
|
|
Face Detection (I8)
|
87% |
25139
298.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
329
2.55 IPS |
|
|
Depth Estimation (F16)
|
100% |
18776
145.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
32452
251.7 IPS |
|
|
Style Transfer (F32)
|
100% |
566
0.74 IPS |
|
|
Style Transfer (F16)
|
100% |
1382
1.82 IPS |
|
|
Style Transfer (I8)
|
28% |
2610
3.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
168
6.00 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5412
193.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
11986
428.1 IPS |
|
|
Text Classification (F32)
|
100% |
170
244.4 IPS |
|
|
Text Classification (F16)
|
100% |
1576
2.27 KIPS |
|
|
Text Classification (I8)
|
94% |
1834
2.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
407
7.49 IPS |
|
|
Machine Translation (F16)
|
100% |
341
6.27 IPS |
|
|
Machine Translation (I8)
|
64% |
312
5.73 IPS |
