OnePlus CPH2551
Geekbench AI Score
298
Single Precision Score
297
Half Precision Score
620
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | doughertywmd |
| Upload Date | April 14 2025 02:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2551 |
| Model ID | OnePlus CPH2551 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
99% |
415
77.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
425
6.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
321
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (Q)
|
98% |
1192
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (Q)
|
87% |
456
36.6 IPS |
|
|
Face Detection (SP)
|
100% |
416
4.95 IPS |
|
|
Face Detection (HP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (Q)
|
97% |
905
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
402
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
404
3.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
866
7.86 IPS |
|
|
Style Transfer (SP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
1507
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
693
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.9 IPS |
|
|
Text Classification (HP)
|
100% |
236
315.1 IPS |
|
|
Text Classification (Q)
|
91% |
370
497.2 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.13 IPS |
