OPPO PKC110
Geekbench ML Score
3641
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2024 06:04 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO PKC110 |
| Model ID | OPPO PKC110 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 15.03 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1955
209.4 IPS |
|
|
Image Classification (F16)
|
100% |
9096
974.6 IPS |
|
|
Image Classification (I8)
|
80% |
22543
2.42 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1684
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
11173
69.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
32475
200.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2891
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
5107
20.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
20220
81.8 IPS |
|
|
Object Detection (F32)
|
100% |
1060
37.2 IPS |
|
|
Object Detection (F16)
|
100% |
1413
49.6 IPS |
|
|
Object Detection (I8)
|
53% |
1523
53.5 IPS |
|
|
Face Detection (F32)
|
100% |
3189
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
11360
130.5 IPS |
|
|
Face Detection (I8)
|
75% |
16728
192.2 IPS |
|
|
Text Classification (F32)
|
52% |
318
125.7 IPS |
|
|
Text Classification (F16)
|
100% |
1658
656.0 IPS |
|
|
Machine Translation (F32)
|
100% |
928
143.1 IPS |
|
|
Machine Translation (F16)
|
100% |
933
143.8 IPS |
