Dijitsu DCT 90
Geekbench ML Score
143
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 12 2024 09:13 AM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Dijitsu DCT 90 |
| Model ID | Dijitsu DCT 90 |
| Motherboard | g2062hmr_v1_gh_oj_dct90_t |
| CPU Information | |
|---|---|
| Name | ARM MT6762V/WA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Cluster 2 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
44
8.20 IPS |
|
|
Image Classification (F16)
|
100% |
44
8.25 IPS |
|
|
Image Classification (I8)
|
97% |
61
11.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
95
1.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
103
1.71 IPS |
|
|
Image Segmentation (I8)
|
98% |
143
2.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
138
0.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
389
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
89
6.61 IPS |
|
|
Object Detection (F16)
|
100% |
85
6.37 IPS |
|
|
Object Detection (I8)
|
61% |
139
10.3 IPS |
|
|
Face Detection (F32)
|
100% |
193
2.29 IPS |
|
|
Face Detection (F16)
|
100% |
187
2.22 IPS |
|
|
Face Detection (I8)
|
86% |
340
4.05 IPS |
|
|
Depth Estimation (F32)
|
100% |
167
1.30 IPS |
|
|
Depth Estimation (F16)
|
100% |
165
1.28 IPS |
|
|
Depth Estimation (I8)
|
95% |
312
2.42 IPS |
|
|
Style Transfer (F32)
|
100% |
271
0.36 IPS |
|
|
Style Transfer (F16)
|
100% |
264
0.35 IPS |
|
|
Style Transfer (I8)
|
98% |
646
0.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
106
3.79 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
105
3.74 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
225
8.02 IPS |
|
|
Text Classification (F32)
|
100% |
105
150.5 IPS |
|
|
Text Classification (F16)
|
100% |
112
161.4 IPS |
|
|
Text Classification (I8)
|
92% |
105
151.4 IPS |
|
|
Machine Translation (F32)
|
100% |
183
3.36 IPS |
|
|
Machine Translation (F16)
|
100% |
168
3.09 IPS |
|
|
Machine Translation (I8)
|
64% |
88
1.63 IPS |
