OnePlus CPH2449
Geekbench AI Score
1891
Single Precision Score
1926
Half Precision Score
3089
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Paykingzaza |
| Upload Date | August 27 2024 11:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2449 |
| Model ID | OnePlus CPH2449 |
| 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 | 7.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
1403
261.0 IPS |
|
|
Image Classification (Q)
|
100% |
2018
375.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2510
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2974
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
6841
8.11 IPS |
|
|
Object Detection (SP)
|
98% |
1433
114.0 IPS |
|
|
Object Detection (HP)
|
98% |
1437
114.4 IPS |
|
|
Object Detection (Q)
|
87% |
2145
172.3 IPS |
|
|
Face Detection (SP)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (Q)
|
95% |
4792
57.2 IPS |
|
|
Depth Estimation (SP)
|
98% |
2898
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2828
21.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
5575
45.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7203
9.35 IPS |
|
|
Style Transfer (HP)
|
89% |
7146
9.28 IPS |
|
|
Style Transfer (Q)
|
98% |
13646
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3477
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
630
840.8 IPS |
|
|
Text Classification (HP)
|
99% |
669
892.6 IPS |
|
|
Text Classification (Q)
|
88% |
1092
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
771
27.4 IPS |
