OnePlus CPH2585
Geekbench AI Score
181
Single Precision Score
180
Half Precision Score
409
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Nanolm |
| Upload Date | August 22 2024 02:57 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2585 |
| Model ID | OnePlus CPH2585 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.3 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.3 IPS |
|
|
Image Classification (Q)
|
97% |
261
48.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
278
4.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
183
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
186
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
683
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.06 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.08 IPS |
|
|
Object Detection (Q)
|
89% |
285
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
97% |
603
7.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
246
1.89 IPS |
|
|
Depth Estimation (HP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (Q)
|
73% |
620
5.07 IPS |
|
|
Style Transfer (SP)
|
100% |
445
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
444
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1242
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
401
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
142
190.1 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.2 IPS |
|
|
Text Classification (Q)
|
91% |
239
321.7 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.19 IPS |
