OnePlus CPH2583
Geekbench AI Score
2498
Single Precision Score
2467
Half Precision Score
3891
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 09:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2394
445.2 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.8 IPS |
|
|
Image Classification (Q)
|
100% |
3568
663.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2559
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2551
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4039
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3984
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3736
4.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
8899
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1860
148.0 IPS |
|
|
Object Detection (HP)
|
98% |
1884
149.9 IPS |
|
|
Object Detection (Q)
|
83% |
2703
218.3 IPS |
|
|
Face Detection (SP)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
3772
44.8 IPS |
|
|
Face Detection (Q)
|
95% |
6392
76.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3738
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3606
27.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6468
59.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9380
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9302
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16922
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3987
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
730
974.4 IPS |
|
|
Text Classification (HP)
|
99% |
734
979.5 IPS |
|
|
Text Classification (Q)
|
88% |
1141
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
722
25.6 IPS |
