OnePlus CPH2551
Geekbench AI Score
302
Single Precision Score
16054
Half Precision Score
35614
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | doughertywmd |
| Upload Date | April 14 2025 02:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
12527
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
32105
5.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
7275
117.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20521
333.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
320
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
72004
84.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
291596
341.3 IPS |
|
|
Object Detection (SP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
11418
905.7 IPS |
|
|
Object Detection (Q)
|
86% |
12859
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (HP)
|
100% |
24938
296.3 IPS |
|
|
Face Detection (Q)
|
97% |
72277
861.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
403
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
43953
338.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
79705
746.3 IPS |
|
|
Style Transfer (SP)
|
100% |
667
0.86 IPS |
|
|
Style Transfer (HP)
|
98% |
59536
76.8 IPS |
|
|
Style Transfer (Q)
|
98% |
290508
374.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31757
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
80982
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
254
338.8 IPS |
|
|
Text Classification (HP)
|
100% |
2501
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
443
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1760
46.1 IPS |
