OnePlus CPH2585
Geekbench AI Score
741
Single Precision Score
980
Half Precision Score
884
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Nanolm |
| Upload Date | August 22 2024 02:11 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
542
100.8 IPS |
|
|
Image Classification (HP)
|
100% |
833
154.9 IPS |
|
|
Image Classification (Q)
|
99% |
518
96.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1024
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
959
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1387
1.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
1378
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
89% |
795
63.6 IPS |
|
|
Face Detection (SP)
|
100% |
2149
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (Q)
|
97% |
1553
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1443
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2748
21.2 IPS |
|
|
Depth Estimation (Q)
|
74% |
2199
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3633
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
8125
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7940
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
369
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.4 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.7 IPS |
|
|
Text Classification (Q)
|
91% |
238
320.1 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.17 IPS |
