OnePlus CPH2645
Geekbench AI Score
293
Single Precision Score
19760
Half Precision Score
47836
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 10:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
16082
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
40496
7.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
10601
171.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
30955
503.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
386
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
74869
87.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
392229
459.1 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
13104
1.04 KIPS |
|
|
Object Detection (Q)
|
86% |
18148
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
429
5.10 IPS |
|
|
Face Detection (HP)
|
100% |
29284
348.0 IPS |
|
|
Face Detection (Q)
|
97% |
99954
1.19 KIPS |
|
|
Depth Estimation (SP)
|
100% |
341
2.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
54602
420.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
101432
949.8 IPS |
|
|
Style Transfer (SP)
|
100% |
647
0.83 IPS |
|
|
Style Transfer (HP)
|
98% |
81859
105.6 IPS |
|
|
Style Transfer (Q)
|
98% |
418339
539.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38811
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103023
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
198
264.0 IPS |
|
|
Text Classification (HP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6719
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
356
6.14 IPS |
|
|
Machine Translation (HP)
|
100% |
3360
57.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2395
62.8 IPS |
