OnePlus CPH2583
Geekbench AI Score
2797
Single Precision Score
2746
Half Precision Score
4581
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jonte90 |
| Upload Date | August 23 2025 02:54 AM |
| Views | 7 |
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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1837
341.6 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (Q)
|
100% |
3421
636.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3960
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4405
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4316
5.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
9805
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
2009
159.9 IPS |
|
|
Object Detection (HP)
|
98% |
1963
156.2 IPS |
|
|
Object Detection (Q)
|
83% |
3256
263.0 IPS |
|
|
Face Detection (SP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (Q)
|
95% |
7406
88.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4342
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4073
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7285
66.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10193
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10116
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20162
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5445
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1017
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1620
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (Q)
|
50% |
981
34.8 IPS |
