OnePlus CPH2551
Geekbench AI Score
843
Single Precision Score
1133
Half Precision Score
955
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | doughertywmd |
| Upload Date | April 14 2025 01:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
545
101.4 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.3 IPS |
|
|
Image Classification (Q)
|
96% |
472
88.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1024
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
954
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1409
1.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1398
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
100% |
722
57.2 IPS |
|
|
Object Detection (Q)
|
87% |
751
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
2122
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2435
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1428
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2772
21.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2288
21.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3660
4.70 IPS |
|
|
Style Transfer (HP)
|
100% |
8283
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8203
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
366
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.5 IPS |
|
|
Text Classification (HP)
|
100% |
269
359.7 IPS |
|
|
Text Classification (Q)
|
91% |
255
342.7 IPS |
|
|
Machine Translation (SP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.14 IPS |
