OnePlus CPH2551
Geekbench AI Score
1480
Single Precision Score
2273
Half Precision Score
1921
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Pauly802 |
| Upload Date | November 13 2025 09:50 PM |
| Views | 3 |
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% |
969
180.2 IPS |
|
|
Image Classification (HP)
|
100% |
1508
280.5 IPS |
|
|
Image Classification (Q)
|
99% |
1336
249.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3192
51.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3277
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7814
9.12 IPS |
|
|
Pose Estimation (HP)
|
99% |
13532
15.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
13336
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (HP)
|
99% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
82% |
993
80.4 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (Q)
|
97% |
3271
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3874
29.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5412
41.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
4209
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9651
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19477
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18003
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2316
85.8 IPS |
|
|
Text Classification (SP)
|
35% |
36
351.2 IPS |
|
|
Text Classification (HP)
|
35% |
70
636.7 IPS |
|
|
Text Classification (Q)
|
35% |
62
606.7 IPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
97% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
49% |
332
12.5 IPS |
