OnePlus CPH2585
Geekbench AI Score
1347
Single Precision Score
1907
Half Precision Score
1679
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 04:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
859
159.7 IPS |
|
|
Image Classification (HP)
|
100% |
1245
231.6 IPS |
|
|
Image Classification (Q)
|
99% |
872
162.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2905
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7462
8.71 IPS |
|
|
Pose Estimation (HP)
|
99% |
13698
16.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
13332
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (HP)
|
99% |
1222
96.9 IPS |
|
|
Object Detection (Q)
|
82% |
1179
95.5 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
3526
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
4081
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3813
29.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5634
43.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
4479
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9438
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16872
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15604
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1353
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1625
60.2 IPS |
|
|
Text Classification (SP)
|
35% |
27
267.3 IPS |
|
|
Text Classification (HP)
|
35% |
30
275.0 IPS |
|
|
Text Classification (Q)
|
35% |
50
484.4 IPS |
|
|
Machine Translation (SP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (HP)
|
97% |
699
12.1 IPS |
|
|
Machine Translation (Q)
|
49% |
193
7.25 IPS |
