OnePlus CPH2583
Geekbench AI Score
2082
Single Precision Score
2102
Half Precision Score
3329
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | March 15 2025 10:32 AM |
| Views | 14 |
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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1525
283.6 IPS |
|
|
Image Classification (HP)
|
100% |
1338
248.9 IPS |
|
|
Image Classification (Q)
|
100% |
2324
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2842
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3351
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3354
3.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
7784
9.23 IPS |
|
|
Object Detection (SP)
|
98% |
1501
119.4 IPS |
|
|
Object Detection (HP)
|
98% |
1472
117.1 IPS |
|
|
Object Detection (Q)
|
83% |
2261
182.7 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
5269
62.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2957
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2965
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5423
49.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7991
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8023
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15886
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3974
147.2 IPS |
|
|
Text Classification (SP)
|
100% |
727
970.5 IPS |
|
|
Text Classification (HP)
|
99% |
725
967.9 IPS |
|
|
Text Classification (Q)
|
88% |
1131
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
705
25.0 IPS |
