OnePlus CPH2645
Geekbench AI Score
2486
Single Precision Score
2372
Half Precision Score
3801
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 10:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2645 |
| Model ID | OnePlus CPH2645 |
| 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% |
1802
335.1 IPS |
|
|
Image Classification (HP)
|
100% |
1836
341.4 IPS |
|
|
Image Classification (Q)
|
100% |
2829
526.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3358
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3844
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3348
3.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
7792
9.24 IPS |
|
|
Object Detection (SP)
|
98% |
1870
148.8 IPS |
|
|
Object Detection (HP)
|
98% |
1622
129.1 IPS |
|
|
Object Detection (Q)
|
83% |
2409
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (Q)
|
95% |
6442
76.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3942
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3239
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5704
52.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8091
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8331
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17416
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4833
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1458
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
783
27.8 IPS |
