OnePlus CPH2585
Geekbench AI Score
180
Single Precision Score
15522
Half Precision Score
34866
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Nanolm |
| Upload Date | July 02 2025 06:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
11870
2.21 KIPS |
|
|
Image Classification (Q)
|
97% |
31052
5.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
7228
117.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20573
334.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
183
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
71451
83.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
288123
337.2 IPS |
|
|
Object Detection (SP)
|
100% |
101
8.03 IPS |
|
|
Object Detection (HP)
|
100% |
11267
893.7 IPS |
|
|
Object Detection (Q)
|
86% |
12561
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
289
3.43 IPS |
|
|
Face Detection (HP)
|
100% |
22360
265.7 IPS |
|
|
Face Detection (Q)
|
97% |
70871
845.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
242
1.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
43791
337.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
78075
731.1 IPS |
|
|
Style Transfer (SP)
|
100% |
443
0.57 IPS |
|
|
Style Transfer (HP)
|
98% |
59658
76.9 IPS |
|
|
Style Transfer (Q)
|
98% |
290245
374.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31423
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81180
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
142
188.9 IPS |
|
|
Text Classification (HP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
2565
44.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1599
41.9 IPS |
