OnePlus CPH2583
Geekbench AI Score
2643
Single Precision Score
2615
Half Precision Score
4199
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | April 20 2025 10:39 AM |
| Views | 3 |
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% |
2185
406.4 IPS |
|
|
Image Classification (HP)
|
100% |
1875
348.7 IPS |
|
|
Image Classification (Q)
|
100% |
3325
618.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4159
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4222
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3946
4.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
9276
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1918
152.6 IPS |
|
|
Object Detection (HP)
|
98% |
1908
151.8 IPS |
|
|
Object Detection (Q)
|
83% |
2762
223.1 IPS |
|
|
Face Detection (SP)
|
100% |
3795
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (Q)
|
95% |
6413
76.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3579
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3722
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6577
60.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9545
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9518
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19487
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4900
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
900
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1380
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (Q)
|
50% |
867
30.8 IPS |
