OnePlus CPH2663
Geekbench AI Score
141
Single Precision Score
142
Half Precision Score
24799
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 02:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2663 |
| Model ID | OnePlus CPH2663 |
| 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 | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
97% |
22184
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
106
1.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
17285
281.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
146
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
146
0.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
135523
158.6 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.29 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.38 IPS |
|
|
Object Detection (Q)
|
86% |
10262
825.2 IPS |
|
|
Face Detection (SP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (HP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (Q)
|
97% |
48735
581.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
193
1.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
193
1.48 IPS |
|
|
Depth Estimation (Q)
|
63% |
57729
540.6 IPS |
|
|
Style Transfer (SP)
|
100% |
356
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
358
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
181447
234.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
92
3.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
92
3.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
46456
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
113
150.6 IPS |
|
|
Text Classification (HP)
|
100% |
113
151.2 IPS |
|
|
Text Classification (Q)
|
93% |
5195
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (Q)
|
55% |
1339
35.1 IPS |
