OnePlus CPH2581
Geekbench AI Score
2631
Single Precision Score
2661
Half Precision Score
4173
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | tuldok89 |
| Upload Date | August 16 2024 11:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2215
411.9 IPS |
|
|
Image Classification (HP)
|
100% |
2337
434.5 IPS |
|
|
Image Classification (Q)
|
100% |
2722
506.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2557
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4075
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4251
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4000
4.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
9239
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1947
154.9 IPS |
|
|
Object Detection (HP)
|
98% |
1969
156.7 IPS |
|
|
Object Detection (Q)
|
87% |
2887
231.8 IPS |
|
|
Face Detection (SP)
|
100% |
3829
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
3767
44.8 IPS |
|
|
Face Detection (Q)
|
95% |
6417
76.6 IPS |
|
|
Depth Estimation (SP)
|
98% |
3696
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3751
29.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
7467
60.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9698
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9644
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19122
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1992
73.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4867
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
886
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
1344
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1576
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
905
32.1 IPS |
