OnePlus CPH2645
Geekbench AI Score
2704
Single Precision Score
2667
Half Precision Score
4306
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:07 AM |
| Views | 2 |
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% |
1788
332.5 IPS |
|
|
Image Classification (HP)
|
100% |
2115
393.4 IPS |
|
|
Image Classification (Q)
|
100% |
3201
595.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4074
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4091
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4092
4.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
8579
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
2114
168.2 IPS |
|
|
Object Detection (HP)
|
98% |
2179
173.4 IPS |
|
|
Object Detection (Q)
|
83% |
3108
251.1 IPS |
|
|
Face Detection (SP)
|
100% |
3985
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (Q)
|
95% |
6422
76.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3778
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3871
29.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6843
62.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9967
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9818
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18957
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5057
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1567
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
955
33.9 IPS |
