Google cherry
Geekbench ML Score
320
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 30 2023 01:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Google cherry |
| Model ID | Google cherry |
| Motherboard | dojo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 6.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
207
22.2 IPS |
|
|
Image Classification (F16)
|
100% |
207
22.2 IPS |
|
|
Image Classification (I8)
|
81% |
222
23.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
526
3.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
537
3.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
426
2.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
256
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
257
1.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
68
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
272
9.55 IPS |
|
|
Object Detection (F16)
|
100% |
275
9.63 IPS |
|
|
Object Detection (I8)
|
52% |
275
9.65 IPS |
|
|
Face Detection (F32)
|
100% |
434
4.99 IPS |
|
|
Face Detection (F16)
|
100% |
431
4.95 IPS |
|
|
Face Detection (I8)
|
75% |
336
3.86 IPS |
|
|
Text Classification (F32)
|
100% |
572
226.0 IPS |
|
|
Text Classification (F16)
|
100% |
574
226.9 IPS |
|
|
Machine Translation (F32)
|
100% |
428
66.0 IPS |
|
|
Machine Translation (F16)
|
100% |
434
66.9 IPS |
