OnePlus CPH2551
Geekbench AI Score
616
Single Precision Score
588
Half Precision Score
1099
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | bjoernt |
| Upload Date | October 04 2024 03:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
735
136.7 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
100% |
884
164.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1061
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1197
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
2384
2.83 IPS |
|
|
Object Detection (SP)
|
98% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
98% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
83% |
736
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (Q)
|
95% |
1406
16.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
902
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
877
6.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
1680
15.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1903
2.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1904
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
4426
5.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
597
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1112
41.2 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.4 IPS |
|
|
Text Classification (HP)
|
99% |
235
313.3 IPS |
|
|
Text Classification (Q)
|
88% |
422
568.9 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
