OnePlus CPH2583
Geekbench AI Score
2430
Single Precision Score
2332
Half Precision Score
3092
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | December 13 2024 04:17 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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
1849
343.8 IPS |
|
|
Image Classification (Q)
|
100% |
2723
506.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3277
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3420
3.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
7741
9.18 IPS |
|
|
Object Detection (SP)
|
98% |
1566
124.7 IPS |
|
|
Object Detection (HP)
|
98% |
1556
123.8 IPS |
|
|
Object Detection (Q)
|
83% |
1864
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
3404
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3391
40.3 IPS |
|
|
Face Detection (Q)
|
95% |
4971
59.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3708
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3541
27.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5443
49.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9516
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8741
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16698
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3451
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
869
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1373
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
459
16.3 IPS |
