OnePlus CPH2583
Geekbench AI Score
2240
Single Precision Score
2175
Half Precision Score
2693
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | December 09 2024 07:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2583 |
| Model ID | OnePlus CPH2583 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1898
352.9 IPS |
|
|
Image Classification (HP)
|
100% |
1870
347.7 IPS |
|
|
Image Classification (Q)
|
100% |
2491
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3050
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3600
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3483
4.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
7945
9.42 IPS |
|
|
Object Detection (SP)
|
98% |
1581
125.9 IPS |
|
|
Object Detection (HP)
|
98% |
1654
131.6 IPS |
|
|
Object Detection (Q)
|
83% |
1876
151.6 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
4404
52.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3082
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3084
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4708
43.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8234
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8263
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14231
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2923
108.3 IPS |
|
|
Text Classification (SP)
|
100% |
728
972.4 IPS |
|
|
Text Classification (HP)
|
99% |
692
923.6 IPS |
|
|
Text Classification (Q)
|
88% |
531
716.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1199
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
387
13.8 IPS |
