OnePlus CPH2653
Geekbench AI Score
2623
Single Precision Score
4013
Half Precision Score
3524
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | allanburk |
| Upload Date | September 27 2025 11:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.6 IPS |
|
|
Image Classification (Q)
|
100% |
2475
460.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3244
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5485
88.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5486
89.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12731
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23035
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22493
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
99% |
2084
165.3 IPS |
|
|
Object Detection (Q)
|
85% |
1938
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
5313
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
9163
108.9 IPS |
|
|
Face Detection (Q)
|
97% |
9018
107.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6569
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9093
70.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6987
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16122
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35596
45.8 IPS |
|
|
Style Transfer (Q)
|
98% |
35328
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3425
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5348
197.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5114
189.5 IPS |
|
|
Text Classification (SP)
|
35% |
81
789.0 IPS |
|
|
Text Classification (HP)
|
35% |
66
603.9 IPS |
|
|
Text Classification (Q)
|
33% |
60
676.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (Q)
|
48% |
732
28.1 IPS |
