OnePlus CPH2585
Geekbench AI Score
171
Single Precision Score
172
Half Precision Score
386
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Nanolm |
| Upload Date | July 02 2025 06:08 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
96
17.9 IPS |
|
|
Image Classification (Q)
|
99% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
126
2.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
259
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
170
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
171
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
637
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
94
7.46 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.06 IPS |
|
|
Object Detection (Q)
|
87% |
288
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (HP)
|
100% |
295
3.50 IPS |
|
|
Face Detection (Q)
|
97% |
605
7.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
242
1.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
243
1.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
556
5.04 IPS |
|
|
Style Transfer (SP)
|
100% |
441
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
444
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1141
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
108
3.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
108
3.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
370
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
132
176.4 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.3 IPS |
|
|
Text Classification (Q)
|
91% |
220
296.0 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.19 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
57% |
207
5.06 IPS |
