OnePlus CPH2653
Geekbench AI Score
258
Single Precision Score
247
Half Precision Score
552
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 09 2025 07:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
99% |
361
67.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
373
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
938
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
391
31.3 IPS |
|
|
Face Detection (SP)
|
100% |
377
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.50 IPS |
|
|
Face Detection (Q)
|
97% |
815
9.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
321
2.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
342
2.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
749
6.80 IPS |
|
|
Style Transfer (SP)
|
100% |
599
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
598
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1659
2.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
160
5.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
160
5.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
553
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.9 IPS |
|
|
Text Classification (HP)
|
100% |
202
270.2 IPS |
|
|
Text Classification (Q)
|
91% |
335
450.5 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
