OPPO PKD130
Geekbench ML Score
197
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 11:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO PKD130 |
| Model ID | OPPO PKD130 |
| Motherboard | k6835v2_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.41 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
99
18.6 IPS |
|
|
Image Classification (F16)
|
100% |
174
32.5 IPS |
|
|
Image Classification (I8)
|
97% |
166
31.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
136
2.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
244
4.08 IPS |
|
|
Image Segmentation (I8)
|
98% |
238
3.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
112
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
79
5.90 IPS |
|
|
Object Detection (F16)
|
100% |
125
9.36 IPS |
|
|
Object Detection (I8)
|
62% |
125
9.30 IPS |
|
|
Face Detection (F32)
|
100% |
309
3.67 IPS |
|
|
Face Detection (F16)
|
98% |
432
5.14 IPS |
|
|
Face Detection (I8)
|
86% |
420
4.99 IPS |
|
|
Depth Estimation (F32)
|
100% |
187
1.45 IPS |
|
|
Depth Estimation (F16)
|
100% |
243
1.88 IPS |
|
|
Depth Estimation (I8)
|
95% |
241
1.87 IPS |
|
|
Style Transfer (F32)
|
100% |
363
0.48 IPS |
|
|
Style Transfer (F16)
|
100% |
512
0.67 IPS |
|
|
Style Transfer (I8)
|
98% |
512
0.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
98
3.51 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
153
5.46 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
151
5.39 IPS |
|
|
Text Classification (F32)
|
100% |
158
227.8 IPS |
|
|
Text Classification (F16)
|
100% |
159
227.9 IPS |
|
|
Text Classification (I8)
|
92% |
259
372.5 IPS |
|
|
Machine Translation (F32)
|
100% |
288
5.30 IPS |
|
|
Machine Translation (F16)
|
100% |
290
5.34 IPS |
|
|
Machine Translation (I8)
|
64% |
311
5.73 IPS |
