Google corsola
Geekbench ML Score
264
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 22 2023 09:26 AM |
| Views | 2 |
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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
154
16.5 IPS |
|
|
Image Classification (F16)
|
100% |
155
16.6 IPS |
|
|
Image Classification (I8)
|
81% |
282
30.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
348
2.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
344
2.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
683
4.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
149
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
222
7.80 IPS |
|
|
Object Detection (F16)
|
100% |
224
7.87 IPS |
|
|
Object Detection (I8)
|
52% |
347
12.2 IPS |
|
|
Face Detection (F32)
|
100% |
354
4.07 IPS |
|
|
Face Detection (F16)
|
100% |
356
4.09 IPS |
|
|
Face Detection (I8)
|
75% |
477
5.48 IPS |
|
|
Text Classification (F32)
|
100% |
387
153.3 IPS |
|
|
Text Classification (F16)
|
100% |
391
154.8 IPS |
|
|
Machine Translation (F32)
|
100% |
199
30.7 IPS |
|
|
Machine Translation (F16)
|
100% |
206
31.7 IPS |
