OnePlus CPH2655
Geekbench AI Score
2352
Single Precision Score
2333
Half Precision Score
3950
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | canglobalmedia |
| Upload Date | June 14 2025 03:09 AM |
| Views | 2 |
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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1504
279.7 IPS |
|
|
Image Classification (HP)
|
100% |
1477
274.6 IPS |
|
|
Image Classification (Q)
|
100% |
3490
649.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2716
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4555
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4564
5.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
12050
14.3 IPS |
|
|
Object Detection (SP)
|
98% |
1370
109.1 IPS |
|
|
Object Detection (HP)
|
98% |
1372
109.2 IPS |
|
|
Object Detection (Q)
|
83% |
3221
260.2 IPS |
|
|
Face Detection (SP)
|
100% |
3801
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
3778
44.9 IPS |
|
|
Face Detection (Q)
|
95% |
7729
92.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3932
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3866
29.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
8709
79.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9692
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9563
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19759
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1923
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1881
69.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4908
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
835
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
830
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
