OnePlus CPH2747
Geekbench AI Score
578
Single Precision Score
580
Half Precision Score
1440
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | February 05 2026 01:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
370
68.7 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.7 IPS |
|
|
Image Classification (Q)
|
99% |
1079
201.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
2048
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
341
27.1 IPS |
|
|
Object Detection (Q)
|
87% |
1210
97.1 IPS |
|
|
Face Detection (SP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
933
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
2579
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
678
5.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
657
5.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1843
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1148
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1127
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3137
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1640
60.8 IPS |
|
|
Text Classification (SP)
|
100% |
613
818.0 IPS |
|
|
Text Classification (HP)
|
100% |
613
818.6 IPS |
|
|
Text Classification (Q)
|
91% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
57% |
580
14.2 IPS |
