OnePlus 13 OnePlus CPH2653
Geekbench AI Score
223
Single Precision Score
24746
Half Precision Score
54977
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | marvingnils |
| Upload Date | August 30 2025 08:43 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2653 |
| Model ID | OnePlus CPH2653 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (HP)
|
100% |
17985
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
44097
8.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
12069
195.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
37113
603.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
121973
142.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
471974
552.4 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (HP)
|
100% |
16985
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
19691
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
33825
401.9 IPS |
|
|
Face Detection (Q)
|
97% |
103302
1.23 KIPS |
|
|
Depth Estimation (SP)
|
100% |
298
2.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
76467
589.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
128491
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (HP)
|
98% |
98032
126.4 IPS |
|
|
Style Transfer (Q)
|
98% |
486930
627.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51985
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124813
4.62 KIPS |
|
|
Text Classification (SP)
|
100% |
185
246.4 IPS |
|
|
Text Classification (HP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7908
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (HP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2600
67.0 IPS |
