OnePlus CPH2583
Geekbench AI Score
1918
Single Precision Score
1953
Half Precision Score
2568
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | December 13 2024 03:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2583 |
| Model ID | OnePlus CPH2583 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
1765
328.2 IPS |
|
|
Image Classification (Q)
|
100% |
2333
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3016
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3116
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3111
3.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
7208
8.55 IPS |
|
|
Object Detection (SP)
|
98% |
1146
91.2 IPS |
|
|
Object Detection (HP)
|
98% |
1034
82.3 IPS |
|
|
Object Detection (Q)
|
83% |
1694
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2505
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (Q)
|
95% |
4243
50.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3073
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2938
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4080
37.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7236
9.39 IPS |
|
|
Style Transfer (HP)
|
89% |
7353
9.55 IPS |
|
|
Style Transfer (Q)
|
98% |
14875
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1288
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2786
103.2 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.7 IPS |
|
|
Text Classification (HP)
|
99% |
677
903.5 IPS |
|
|
Text Classification (Q)
|
88% |
675
910.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (Q)
|
50% |
300
10.6 IPS |
