HMD Global Rocky
Geekbench ML Score
201
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 16 2024 06:36 AM |
| Views | 32 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | HMD Global Rocky |
| Model ID | HMD Global Rocky |
| Motherboard | Rocky |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.60 GHz |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
105
19.7 IPS |
|
|
Image Classification (F16)
|
100% |
104
19.4 IPS |
|
|
Image Classification (I8)
|
97% |
188
35.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
144
2.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
145
2.42 IPS |
|
|
Image Segmentation (I8)
|
98% |
176
2.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
144
0.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
145
0.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
885
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
110
8.20 IPS |
|
|
Object Detection (F16)
|
100% |
108
8.10 IPS |
|
|
Object Detection (I8)
|
61% |
192
14.3 IPS |
|
|
Face Detection (F32)
|
100% |
234
2.79 IPS |
|
|
Face Detection (F16)
|
100% |
238
2.83 IPS |
|
|
Face Detection (I8)
|
86% |
472
5.61 IPS |
|
|
Depth Estimation (F32)
|
100% |
192
1.49 IPS |
|
|
Depth Estimation (F16)
|
100% |
194
1.50 IPS |
|
|
Depth Estimation (I8)
|
95% |
433
3.35 IPS |
|
|
Style Transfer (F32)
|
100% |
293
0.39 IPS |
|
|
Style Transfer (F16)
|
100% |
292
0.38 IPS |
|
|
Style Transfer (I8)
|
98% |
971
1.28 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
128
4.58 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
126
4.51 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
448
16.0 IPS |
|
|
Text Classification (F32)
|
100% |
148
213.4 IPS |
|
|
Text Classification (F16)
|
100% |
150
215.0 IPS |
|
|
Text Classification (I8)
|
92% |
113
161.8 IPS |
|
|
Machine Translation (F32)
|
100% |
249
4.58 IPS |
|
|
Machine Translation (F16)
|
100% |
244
4.49 IPS |
|
|
Machine Translation (I8)
|
64% |
114
2.10 IPS |
