OnePlus CPH2655
Geekbench ML Score
1291
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 18 2024 04:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2655 |
| Model ID | OnePlus CPH2655 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
668
125.0 IPS |
|
|
Image Classification (F16)
|
100% |
651
121.9 IPS |
|
|
Image Classification (I8)
|
100% |
546
102.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
938
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1307
21.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1264
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1590
1.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
2708
3.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
2723
3.30 IPS |
|
|
Object Detection (F32)
|
100% |
419
31.3 IPS |
|
|
Object Detection (F16)
|
100% |
368
27.5 IPS |
|
|
Object Detection (I8)
|
59% |
359
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
2945
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
3357
39.9 IPS |
|
|
Face Detection (I8)
|
86% |
3111
37.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1586
12.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4542
35.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
4534
35.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4534
5.96 IPS |
|
|
Style Transfer (F16)
|
100% |
8073
10.6 IPS |
|
|
Style Transfer (I8)
|
98% |
11964
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
466
16.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
681
24.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
669
23.9 IPS |
|
|
Text Classification (F32)
|
100% |
531
763.8 IPS |
|
|
Text Classification (F16)
|
100% |
533
766.7 IPS |
|
|
Text Classification (I8)
|
92% |
832
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
742
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
733
13.5 IPS |
|
|
Machine Translation (I8)
|
64% |
749
13.8 IPS |
