OnePlus CPH2745
Geekbench AI Score
2925
Single Precision Score
4639
Half Precision Score
3864
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 02:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2745 |
| Model ID | OnePlus CPH2745 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1907
354.6 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.7 IPS |
|
|
Image Classification (Q)
|
100% |
2750
511.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3616
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7086
114.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6301
102.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14023
16.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
25071
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24909
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (HP)
|
99% |
2374
188.3 IPS |
|
|
Object Detection (Q)
|
85% |
2175
175.1 IPS |
|
|
Face Detection (SP)
|
100% |
5746
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
10727
127.5 IPS |
|
|
Face Detection (Q)
|
97% |
9434
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7229
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9841
76.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7753
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16952
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36266
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35273
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5870
217.6 IPS |
|
|
Text Classification (SP)
|
35% |
89
862.3 IPS |
|
|
Text Classification (HP)
|
35% |
93
849.3 IPS |
|
|
Text Classification (Q)
|
33% |
76
845.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (Q)
|
48% |
687
26.4 IPS |
