OnePlus CPH2487
Geekbench ML Score
740
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 10 2024 08:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2487 |
| Model ID | OnePlus CPH2487 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
486
91.0 IPS |
|
|
Image Classification (F16)
|
100% |
511
95.6 IPS |
|
|
Image Classification (I8)
|
97% |
546
102.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
764
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1047
17.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1438
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
727
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
1292
1.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
1307
1.58 IPS |
|
|
Object Detection (F32)
|
100% |
352
26.3 IPS |
|
|
Object Detection (F16)
|
100% |
347
25.9 IPS |
|
|
Object Detection (I8)
|
62% |
299
22.3 IPS |
|
|
Face Detection (F32)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (F16)
|
97% |
2569
30.5 IPS |
|
|
Face Detection (I8)
|
87% |
1873
22.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1113
8.63 IPS |
|
|
Depth Estimation (F16)
|
100% |
2600
20.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2568
19.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2723
3.58 IPS |
|
|
Style Transfer (F16)
|
100% |
5430
7.14 IPS |
|
|
Style Transfer (I8)
|
98% |
5459
7.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
343
12.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
539
19.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
430
15.4 IPS |
|
|
Text Classification (F32)
|
100% |
121
173.9 IPS |
|
|
Text Classification (F16)
|
100% |
121
174.2 IPS |
|
|
Text Classification (I8)
|
92% |
219
314.3 IPS |
|
|
Machine Translation (F32)
|
100% |
228
4.20 IPS |
|
|
Machine Translation (F16)
|
100% |
229
4.21 IPS |
|
|
Machine Translation (I8)
|
64% |
274
5.04 IPS |
