OnePlus CPH2581
Geekbench AI Score
2528
Single Precision Score
2496
Half Precision Score
2977
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | akaloith |
| Upload Date | November 11 2024 02:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2581 |
| Model ID | OnePlus CPH2581 |
| 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% |
1920
357.1 IPS |
|
|
Image Classification (HP)
|
100% |
1674
311.4 IPS |
|
|
Image Classification (Q)
|
100% |
2582
480.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3357
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3978
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3873
4.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
8327
9.88 IPS |
|
|
Object Detection (SP)
|
98% |
1579
125.7 IPS |
|
|
Object Detection (HP)
|
98% |
1601
127.4 IPS |
|
|
Object Detection (Q)
|
83% |
1979
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
5121
61.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3792
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3617
27.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4788
43.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9678
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9333
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16868
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3162
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
1038
1.39 KIPS |
|
|
Text Classification (Q)
|
88% |
760
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1727
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (Q)
|
50% |
386
13.7 IPS |
