OnePlus CPH2767
Geekbench AI Score
500
Single Precision Score
511
Half Precision Score
1288
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 06:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2767 |
| Model ID | OnePlus CPH2767 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 4 part 2 revision 0 |
| Base Frequency | 3.32 GHz |
| Cluster 1 | 6 Cores @ 3.32 GHz |
| Cluster 2 | 2 Cores @ 3.80 GHz |
| Memory Information | |
|---|---|
| Size | 10.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.3 IPS |
|
|
Image Classification (Q)
|
99% |
970
180.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
870
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1799
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
87% |
1099
88.1 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (Q)
|
97% |
2318
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
607
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
600
4.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
1589
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1063
1.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1066
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
2800
3.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1407
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
565
753.6 IPS |
|
|
Text Classification (HP)
|
100% |
570
760.4 IPS |
|
|
Text Classification (Q)
|
91% |
929
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
560
13.7 IPS |
