OnePlus CPH2653
Geekbench AI Score
1935
Single Precision Score
1924
Half Precision Score
1854
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 02:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2653 |
| Model ID | OnePlus CPH2653 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1101
204.8 IPS |
|
|
Image Classification (HP)
|
100% |
1560
290.2 IPS |
|
|
Image Classification (Q)
|
100% |
2139
397.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1992
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3948
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4057
4.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
8269
9.81 IPS |
|
|
Object Detection (SP)
|
98% |
792
63.1 IPS |
|
|
Object Detection (HP)
|
98% |
828
65.9 IPS |
|
|
Object Detection (Q)
|
83% |
1006
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2494
29.6 IPS |
|
|
Face Detection (Q)
|
95% |
2626
31.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3730
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3834
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5171
47.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9706
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9743
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13725
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3550
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
736
982.9 IPS |
|
|
Text Classification (HP)
|
99% |
682
910.2 IPS |
|
|
Text Classification (Q)
|
88% |
205
275.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (Q)
|
50% |
100
3.54 IPS |
