SHARP SH-02M
Geekbench ML Score
85
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2024 11:00 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | SHARP SH-02M |
| Model ID | SHARP SH-02M |
| Motherboard | Lila |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2049 revision 4 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
53
5.67 IPS |
|
|
Image Classification (F16)
|
100% |
54
5.80 IPS |
|
|
Image Classification (I8)
|
81% |
259
27.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
110
0.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
109
0.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
416
2.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
66
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
50
0.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
81
0.33 IPS |
|
|
Object Detection (F32)
|
100% |
81
2.85 IPS |
|
|
Object Detection (F16)
|
100% |
81
2.86 IPS |
|
|
Object Detection (I8)
|
52% |
164
5.76 IPS |
|
|
Face Detection (F32)
|
100% |
115
1.32 IPS |
|
|
Face Detection (F16)
|
100% |
117
1.35 IPS |
|
|
Face Detection (I8)
|
75% |
389
4.47 IPS |
|
|
Text Classification (F32)
|
100% |
66
26.0 IPS |
|
|
Text Classification (F16)
|
100% |
66
26.0 IPS |
|
|
Machine Translation (F32)
|
100% |
15
2.29 IPS |
|
|
Machine Translation (F16)
|
100% |
15
2.29 IPS |
