OnePlus CPH2655
Geekbench AI Score
2340
Single Precision Score
2347
Half Precision Score
4098
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Wcoles |
| Upload Date | October 19 2025 06:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2655 |
| Model ID | OnePlus CPH2655 |
| 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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1479
275.1 IPS |
|
|
Image Classification (HP)
|
100% |
1628
302.8 IPS |
|
|
Image Classification (Q)
|
100% |
3863
718.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4588
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4628
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4592
5.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
11868
14.1 IPS |
|
|
Object Detection (SP)
|
98% |
1370
109.0 IPS |
|
|
Object Detection (HP)
|
98% |
1334
106.2 IPS |
|
|
Object Detection (Q)
|
83% |
3198
258.3 IPS |
|
|
Face Detection (SP)
|
100% |
3775
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (Q)
|
95% |
7513
89.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3837
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3779
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
8308
76.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9385
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9611
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20392
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4679
173.4 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
801
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
711
959.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
