OnePlus CPH2653
Geekbench AI Score
226
Single Precision Score
245
Half Precision Score
465
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | immortal3000 |
| Upload Date | December 15 2025 03:34 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 22.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
99% |
307
57.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
309
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
767
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.02 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (Q)
|
87% |
344
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
324
3.84 IPS |
|
|
Face Detection (HP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (Q)
|
97% |
701
8.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
273
2.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
619
5.61 IPS |
|
|
Style Transfer (SP)
|
100% |
513
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
920
1.18 IPS |
|
|
Style Transfer (Q)
|
98% |
1413
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
458
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
171
227.8 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.6 IPS |
|
|
Text Classification (Q)
|
91% |
282
378.4 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.93 IPS |
