OnePlus CPH2653
Geekbench AI Score
2502
Single Precision Score
2509
Half Precision Score
4653
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | allanburk |
| Upload Date | September 27 2025 11:25 AM |
| Views | 6 |
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 | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1500
278.9 IPS |
|
|
Image Classification (HP)
|
100% |
1647
306.3 IPS |
|
|
Image Classification (Q)
|
100% |
3824
711.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4850
78.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4690
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4729
5.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
12265
14.5 IPS |
|
|
Object Detection (SP)
|
98% |
1479
117.7 IPS |
|
|
Object Detection (HP)
|
98% |
1469
116.9 IPS |
|
|
Object Detection (Q)
|
83% |
3740
302.1 IPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
3893
46.3 IPS |
|
|
Face Detection (Q)
|
95% |
8981
107.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4060
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4016
31.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8874
81.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10132
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9984
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21280
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2057
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6052
224.3 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
978
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1058
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1350
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
