Google corsola
Geekbench ML Score
263
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 22 2023 09:09 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Google corsola |
| Model ID | Google corsola |
| Motherboard | rusty |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 0 MHz |
| Cluster 1 | 8 Cores @ 0.00 Hz |
| Memory Information | |
|---|---|
| Size | 2.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
153
16.4 IPS |
|
|
Image Classification (F16)
|
100% |
154
16.5 IPS |
|
|
Image Classification (I8)
|
81% |
281
30.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
345
2.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
347
2.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
681
4.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
147
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
225
7.88 IPS |
|
|
Object Detection (F16)
|
100% |
224
7.87 IPS |
|
|
Object Detection (I8)
|
52% |
349
12.3 IPS |
|
|
Face Detection (F32)
|
100% |
359
4.12 IPS |
|
|
Face Detection (F16)
|
100% |
359
4.13 IPS |
|
|
Face Detection (I8)
|
75% |
474
5.45 IPS |
|
|
Text Classification (F32)
|
100% |
379
149.7 IPS |
|
|
Text Classification (F16)
|
100% |
385
152.3 IPS |
|
|
Machine Translation (F32)
|
100% |
196
30.2 IPS |
|
|
Machine Translation (F16)
|
100% |
201
31.0 IPS |
