OnePlus CPH2611
Geekbench AI Score
631
Single Precision Score
643
Half Precision Score
1059
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Quina |
| Upload Date | January 05 2025 12:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2611 |
| Model ID | OnePlus CPH2611 |
| 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% |
379
70.4 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
100% |
878
163.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
417
6.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
893
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1239
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1231
1.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
2731
3.24 IPS |
|
|
Object Detection (SP)
|
98% |
336
26.8 IPS |
|
|
Object Detection (HP)
|
98% |
337
26.8 IPS |
|
|
Object Detection (Q)
|
83% |
747
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (Q)
|
95% |
1763
21.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
997
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1088
8.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
1953
17.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2359
3.06 IPS |
|
|
Style Transfer (HP)
|
89% |
2265
2.94 IPS |
|
|
Style Transfer (Q)
|
98% |
5556
7.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1216
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.6 IPS |
|
|
Text Classification (HP)
|
99% |
315
420.7 IPS |
|
|
Text Classification (Q)
|
88% |
310
417.7 IPS |
|
|
Machine Translation (SP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (Q)
|
50% |
155
5.49 IPS |
