OnePlus CPH2581
Geekbench AI Score
2976
Single Precision Score
2919
Half Precision Score
4877
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 09:31 AM |
| Views | 10 |
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% |
2509
466.7 IPS |
|
|
Image Classification (HP)
|
100% |
2494
463.7 IPS |
|
|
Image Classification (Q)
|
100% |
3991
742.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4351
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4509
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4318
5.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
10181
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2132
169.6 IPS |
|
|
Object Detection (HP)
|
98% |
1941
154.5 IPS |
|
|
Object Detection (Q)
|
83% |
3574
288.7 IPS |
|
|
Face Detection (SP)
|
100% |
4207
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4224
50.2 IPS |
|
|
Face Detection (Q)
|
95% |
7868
93.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3971
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3920
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
7217
66.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10463
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10229
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20946
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2170
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5316
197.0 IPS |
|
|
Text Classification (SP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (HP)
|
99% |
1095
1.46 KIPS |
|
|
Text Classification (Q)
|
88% |
1811
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2000
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (Q)
|
50% |
1053
37.4 IPS |
