OnePlus CPH2747
Geekbench AI Score
314
Single Precision Score
30088
Half Precision Score
73613
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | February 04 2026 05:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2747 |
| Model ID | OnePlus CPH2747 |
| 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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (HP)
|
100% |
22392
4.16 KIPS |
|
|
Image Classification (Q)
|
96% |
50208
9.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
15529
251.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
55229
898.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
162061
189.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
619332
724.9 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
22239
1.76 KIPS |
|
|
Object Detection (Q)
|
85% |
28721
2.31 KIPS |
|
|
Face Detection (SP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (HP)
|
100% |
41332
491.1 IPS |
|
|
Face Detection (Q)
|
97% |
115382
1.38 KIPS |
|
|
Depth Estimation (SP)
|
100% |
438
3.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
92359
711.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
191929
1.78 KIPS |
|
|
Style Transfer (SP)
|
100% |
724
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
97493
125.3 IPS |
|
|
Style Transfer (Q)
|
98% |
583770
752.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54104
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
168223
6.23 KIPS |
|
|
Text Classification (SP)
|
100% |
270
359.9 IPS |
|
|
Text Classification (HP)
|
100% |
4260
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
10879
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
5658
97.5 IPS |
|
|
Machine Translation (Q)
|
56% |
4004
103.2 IPS |
