OnePlus CPH2747
Geekbench AI Score
2923
Single Precision Score
4485
Half Precision Score
3784
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 14 2026 03:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1670
310.6 IPS |
|
|
Image Classification (HP)
|
100% |
2581
479.9 IPS |
|
|
Image Classification (Q)
|
100% |
2369
440.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3460
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6398
103.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5972
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14136
16.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
25381
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25175
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
99% |
2070
164.2 IPS |
|
|
Object Detection (Q)
|
85% |
2093
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
5503
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
9271
110.2 IPS |
|
|
Face Detection (Q)
|
97% |
8373
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7281
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9797
75.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
7580
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17608
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38573
49.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38368
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6159
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6016
223.0 IPS |
|
|
Text Classification (SP)
|
35% |
98
951.8 IPS |
|
|
Text Classification (HP)
|
35% |
102
924.3 IPS |
|
|
Text Classification (Q)
|
33% |
81
908.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (Q)
|
48% |
682
26.2 IPS |
