OnePlus CPH2653
Geekbench AI Score
1561
Single Precision Score
1632
Half Precision Score
2691
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 01:10 AM |
| Views | 2 |
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% |
867
161.2 IPS |
|
|
Image Classification (HP)
|
100% |
1113
206.9 IPS |
|
|
Image Classification (Q)
|
100% |
1625
302.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2675
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3263
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3209
3.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
8359
9.91 IPS |
|
|
Object Detection (SP)
|
98% |
879
70.0 IPS |
|
|
Object Detection (HP)
|
98% |
992
78.9 IPS |
|
|
Object Detection (Q)
|
83% |
2125
171.6 IPS |
|
|
Face Detection (SP)
|
100% |
2781
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (Q)
|
95% |
5135
61.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2572
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2979
23.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4713
43.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6975
9.05 IPS |
|
|
Style Transfer (HP)
|
89% |
7092
9.21 IPS |
|
|
Style Transfer (Q)
|
98% |
15255
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1292
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3973
147.2 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.6 IPS |
|
|
Text Classification (HP)
|
99% |
494
658.7 IPS |
|
|
Text Classification (Q)
|
88% |
609
821.5 IPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
289
10.3 IPS |
