OnePlus CPH2583
Geekbench AI Score
2085
Single Precision Score
2092
Half Precision Score
2476
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 09:37 PM |
| Views | 1 |
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% |
1381
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (Q)
|
100% |
1951
362.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2462
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3371
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3372
3.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
7269
8.62 IPS |
|
|
Object Detection (SP)
|
98% |
1349
107.4 IPS |
|
|
Object Detection (HP)
|
98% |
1388
110.5 IPS |
|
|
Object Detection (Q)
|
83% |
1664
134.4 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
4247
50.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3143
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3148
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4338
39.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8341
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8289
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14584
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2687
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
735
981.6 IPS |
|
|
Text Classification (HP)
|
99% |
747
996.4 IPS |
|
|
Text Classification (Q)
|
88% |
596
804.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
347
12.3 IPS |
