OnePlus CPH2583
Geekbench AI Score
1824
Single Precision Score
2650
Half Precision Score
2078
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 04:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1087
202.2 IPS |
|
|
Image Classification (HP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (Q)
|
100% |
1473
273.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3809
61.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3815
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10164
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
17720
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16920
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
864
68.6 IPS |
|
|
Object Detection (HP)
|
99% |
1256
99.6 IPS |
|
|
Object Detection (Q)
|
87% |
1218
97.8 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
4907
58.3 IPS |
|
|
Face Detection (Q)
|
97% |
3789
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4943
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7179
55.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
5463
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12315
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24201
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22917
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2305
85.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3239
119.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3061
113.5 IPS |
|
|
Text Classification (SP)
|
35% |
42
408.5 IPS |
|
|
Text Classification (HP)
|
35% |
51
465.1 IPS |
|
|
Text Classification (Q)
|
33% |
37
448.3 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
97% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
43% |
242
13.8 IPS |
