OnePlus CPH2653
Geekbench AI Score
2264
Single Precision Score
2271
Half Precision Score
4057
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 01:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
1693
314.8 IPS |
|
|
Image Classification (Q)
|
100% |
3952
735.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4611
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4164
4.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
11941
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1468
116.9 IPS |
|
|
Object Detection (HP)
|
98% |
1460
116.2 IPS |
|
|
Object Detection (Q)
|
83% |
2578
208.3 IPS |
|
|
Face Detection (SP)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
3686
43.8 IPS |
|
|
Face Detection (Q)
|
95% |
7507
89.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2470
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3936
30.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8896
81.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9756
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8754
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20820
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5119
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
694
926.2 IPS |
|
|
Text Classification (Q)
|
88% |
641
864.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
473
16.8 IPS |
