OnePlus CPH2663
Geekbench AI Score
223
Single Precision Score
214
Half Precision Score
24363
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 03 2025 03:48 AM |
| Views | 1 |
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% |
275
51.1 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (Q)
|
97% |
20256
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
16373
266.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
316
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
135956
159.1 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.69 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.70 IPS |
|
|
Object Detection (Q)
|
86% |
10583
850.9 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (Q)
|
97% |
51360
612.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
265
2.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
265
2.04 IPS |
|
|
Depth Estimation (Q)
|
63% |
56495
529.0 IPS |
|
|
Style Transfer (SP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
202523
261.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36786
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
155
207.4 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.1 IPS |
|
|
Text Classification (Q)
|
93% |
5257
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
55% |
1359
35.6 IPS |
