OnePlus CPH2649
Geekbench AI Score
2343
Single Precision Score
2289
Half Precision Score
3947
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 06:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2649 |
| Model ID | OnePlus CPH2649 |
| 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 | 22.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (HP)
|
100% |
1516
282.0 IPS |
|
|
Image Classification (Q)
|
100% |
3303
614.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3964
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4486
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
11707
13.9 IPS |
|
|
Object Detection (SP)
|
98% |
1409
112.1 IPS |
|
|
Object Detection (HP)
|
98% |
1305
103.8 IPS |
|
|
Object Detection (Q)
|
83% |
3262
263.5 IPS |
|
|
Face Detection (SP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
3851
45.8 IPS |
|
|
Face Detection (Q)
|
95% |
7433
88.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3921
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3811
29.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
8236
75.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9558
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9718
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19825
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1890
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4903
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
747
997.5 IPS |
|
|
Text Classification (Q)
|
88% |
712
960.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (Q)
|
50% |
434
15.4 IPS |
