OnePlus CPH2449
Geekbench AI Score
788
Single Precision Score
1059
Half Precision Score
918
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 10 2024 11:27 PM |
| Views | 1 |
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% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.1 IPS |
|
|
Image Classification (Q)
|
96% |
485
90.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1043
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
949
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1365
1.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
1358
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (Q)
|
87% |
783
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
1545
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1374
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2703
20.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2206
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3637
4.68 IPS |
|
|
Style Transfer (HP)
|
100% |
8156
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7974
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
312
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
240
319.9 IPS |
|
|
Text Classification (HP)
|
100% |
240
319.7 IPS |
|
|
Text Classification (Q)
|
91% |
343
461.7 IPS |
|
|
Machine Translation (SP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (Q)
|
57% |
272
6.66 IPS |
