OnePlus CPH2653
Geekbench AI Score
2140
Single Precision Score
2171
Half Precision Score
3723
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 23 2025 01:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
1432
266.3 IPS |
|
|
Image Classification (Q)
|
100% |
3365
625.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3806
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4357
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4301
5.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
11596
13.8 IPS |
|
|
Object Detection (SP)
|
98% |
1237
98.4 IPS |
|
|
Object Detection (HP)
|
98% |
1230
97.9 IPS |
|
|
Object Detection (Q)
|
83% |
2920
235.9 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (Q)
|
95% |
6578
78.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3550
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3625
28.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7688
70.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9055
11.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8806
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17654
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4621
171.2 IPS |
|
|
Text Classification (SP)
|
100% |
693
925.5 IPS |
|
|
Text Classification (HP)
|
99% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
669
902.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (Q)
|
50% |
428
15.2 IPS |
