OnePlus CPH2745
Geekbench AI Score
315
Single Precision Score
305
Half Precision Score
696
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 12:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2745 |
| Model ID | OnePlus CPH2745 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (Q)
|
99% |
356
66.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
371
6.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
327
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
304
0.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
1251
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
622
49.9 IPS |
|
|
Face Detection (SP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (HP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (Q)
|
97% |
1322
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
319
2.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
1134
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
735
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
886
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2287
2.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
247
9.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
542
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.5 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.9 IPS |
|
|
Text Classification (Q)
|
91% |
335
450.0 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (Q)
|
57% |
417
10.2 IPS |
