OnePlus CPH2583
Geekbench AI Score
2687
Single Precision Score
2713
Half Precision Score
4330
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | February 23 2025 02:15 PM |
| Views | 9 |
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% |
2174
404.4 IPS |
|
|
Image Classification (HP)
|
100% |
2304
428.5 IPS |
|
|
Image Classification (Q)
|
100% |
3243
603.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4113
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4381
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4168
4.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
9067
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
2141
170.4 IPS |
|
|
Object Detection (HP)
|
98% |
2110
167.9 IPS |
|
|
Object Detection (Q)
|
83% |
2929
236.6 IPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
7381
88.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3944
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3889
30.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6790
62.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9769
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9612
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19894
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1995
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1978
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5089
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
937
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
1438
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (Q)
|
50% |
897
31.8 IPS |
