OnePlus CPH2449
Geekbench AI Score
751
Single Precision Score
1046
Half Precision Score
935
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | September 23 2024 12:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (HP)
|
100% |
696
129.5 IPS |
|
|
Image Classification (Q)
|
96% |
652
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1023
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1382
1.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
1392
1.63 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
87% |
782
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
1914
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
1656
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1420
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2697
20.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2209
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3630
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
8160
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7939
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
356
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
350
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.6 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.2 IPS |
|
|
Text Classification (Q)
|
91% |
292
392.4 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (Q)
|
57% |
237
5.79 IPS |
