OnePlus CPH2749
Geekbench AI Score
546
Single Precision Score
558
Half Precision Score
1296
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2749 |
| Model ID | OnePlus CPH2749 |
| 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 | 14.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
392
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
99% |
1261
235.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
484
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1907
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (Q)
|
87% |
983
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
826
9.82 IPS |
|
|
Face Detection (HP)
|
100% |
815
9.68 IPS |
|
|
Face Detection (Q)
|
97% |
2150
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
659
5.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
648
5.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1695
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1149
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1145
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3011
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1346
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.5 IPS |
|
|
Text Classification (HP)
|
100% |
522
697.3 IPS |
|
|
Text Classification (Q)
|
91% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
57% |
548
13.4 IPS |
