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 | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Google corsola |
| Model ID | Google corsola |
| Motherboard | steelix |
| 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 | 6.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
163
17.5 IPS |
|
|
Image Classification (F16)
|
100% |
164
17.6 IPS |
|
|
Image Classification (I8)
|
81% |
272
29.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
354
2.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
355
2.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
684
4.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
135
0.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
147
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
212
7.45 IPS |
|
|
Object Detection (F16)
|
100% |
212
7.44 IPS |
|
|
Object Detection (I8)
|
52% |
360
12.6 IPS |
|
|
Face Detection (F32)
|
100% |
350
4.02 IPS |
|
|
Face Detection (F16)
|
100% |
353
4.06 IPS |
|
|
Face Detection (I8)
|
75% |
483
5.55 IPS |
|
|
Text Classification (F32)
|
100% |
387
152.9 IPS |
|
|
Text Classification (F16)
|
100% |
384
151.8 IPS |
|
|
Machine Translation (F32)
|
100% |
205
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
210
32.3 IPS |
