OnePlus CPH2749
Geekbench AI Score
400
Single Precision Score
393
Half Precision Score
843
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 06:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2749 |
| Model ID | OnePlus CPH2749 |
| 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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.1 IPS |
|
|
Image Classification (Q)
|
99% |
1229
229.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
566
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
1299
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
87% |
621
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
588
6.99 IPS |
|
|
Face Detection (HP)
|
100% |
381
4.52 IPS |
|
|
Face Detection (Q)
|
97% |
805
9.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
437
3.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
473
3.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
1134
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
811
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
731
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
2017
2.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
217
8.01 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
748
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
273
363.9 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.5 IPS |
|
|
Text Classification (Q)
|
91% |
439
590.5 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.26 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (Q)
|
57% |
365
8.93 IPS |
