OnePlus CPH2747
Geekbench AI Score
2961
Single Precision Score
4539
Half Precision Score
3971
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | February 05 2026 01:43 AM |
| Views | 9 |
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% |
2313
430.1 IPS |
|
|
Image Classification (Q)
|
100% |
2090
388.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3616
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6813
110.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7195
117.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14208
16.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
25303
29.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24884
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (HP)
|
99% |
2314
183.5 IPS |
|
|
Object Detection (Q)
|
85% |
2197
176.9 IPS |
|
|
Face Detection (SP)
|
100% |
6341
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
10767
127.9 IPS |
|
|
Face Detection (Q)
|
97% |
10119
120.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7319
56.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9957
77.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
7901
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17523
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37716
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38739
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6652
246.5 IPS |
|
|
Text Classification (SP)
|
35% |
94
914.8 IPS |
|
|
Text Classification (HP)
|
35% |
95
863.4 IPS |
|
|
Text Classification (Q)
|
33% |
79
882.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (Q)
|
48% |
730
28.0 IPS |
