OnePlus CPH2653
Geekbench AI Score
2839
Single Precision Score
4594
Half Precision Score
3864
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 01:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1646
306.2 IPS |
|
|
Image Classification (HP)
|
100% |
3302
614.0 IPS |
|
|
Image Classification (Q)
|
100% |
3087
574.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3723
60.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6674
108.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5929
96.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12825
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23060
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22834
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.6 IPS |
|
|
Object Detection (HP)
|
99% |
2238
177.5 IPS |
|
|
Object Detection (Q)
|
85% |
2131
171.5 IPS |
|
|
Face Detection (SP)
|
100% |
5521
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
10462
124.3 IPS |
|
|
Face Detection (Q)
|
97% |
8815
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6610
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9225
71.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
7272
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16222
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36263
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35234
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6205
229.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6113
226.5 IPS |
|
|
Text Classification (SP)
|
35% |
104
1.01 KIPS |
|
|
Text Classification (HP)
|
35% |
105
954.2 IPS |
|
|
Text Classification (Q)
|
33% |
86
958.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (Q)
|
48% |
702
26.9 IPS |
