OnePlus CPH2493
Geekbench ML Score
1549
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 05 2023 12:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus CPH2493 |
| Model ID | OnePlus CPH2493 |
| Motherboard | k6983v1_64 |
| 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 @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 15.08 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1020
109.3 IPS |
|
|
Image Classification (F16)
|
100% |
1590
170.3 IPS |
|
|
Image Classification (I8)
|
81% |
1346
144.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2690
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
5247
32.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
5364
33.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
772
3.12 IPS |
|
|
Pose Estimation (F16)
|
0% |
2959
12.0 IPS |
|
|
Pose Estimation (I8)
|
0% |
2938
11.9 IPS |
|
|
Object Detection (F32)
|
100% |
607
21.3 IPS |
|
|
Object Detection (F16)
|
99% |
724
25.4 IPS |
|
|
Object Detection (I8)
|
54% |
661
23.2 IPS |
|
|
Face Detection (F32)
|
100% |
2217
25.5 IPS |
|
|
Face Detection (F16)
|
97% |
4380
50.3 IPS |
|
|
Face Detection (I8)
|
75% |
3877
44.5 IPS |
|
|
Text Classification (F32)
|
100% |
566
224.0 IPS |
|
|
Text Classification (F16)
|
46% |
695
274.9 IPS |
|
|
Machine Translation (F32)
|
100% |
919
141.7 IPS |
|
|
Machine Translation (F16)
|
100% |
932
143.6 IPS |
