OnePlus CPH2747
Geekbench AI Score
2910
Single Precision Score
4452
Half Precision Score
3765
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | iClondike |
| Upload Date | January 24 2026 04:18 PM |
| Views | 11 |
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% |
1672
311.0 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.6 IPS |
|
|
Image Classification (Q)
|
100% |
2082
387.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3376
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7070
114.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6373
103.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13676
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24809
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24903
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
1657
131.4 IPS |
|
|
Object Detection (HP)
|
99% |
2212
175.4 IPS |
|
|
Object Detection (Q)
|
85% |
2053
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
6046
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
10662
126.7 IPS |
|
|
Face Detection (Q)
|
97% |
9324
111.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7200
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9911
76.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
7774
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17517
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38296
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38027
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3968
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6073
224.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6099
226.0 IPS |
|
|
Text Classification (SP)
|
35% |
92
900.5 IPS |
|
|
Text Classification (HP)
|
35% |
85
768.8 IPS |
|
|
Text Classification (Q)
|
33% |
76
852.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1652
28.5 IPS |
|
|
Machine Translation (Q)
|
48% |
662
25.4 IPS |
