OnePlus CPH2551
Geekbench AI Score
2076
Single Precision Score
2062
Half Precision Score
3317
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | bjoernt |
| Upload Date | October 28 2024 09:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2551 |
| Model ID | OnePlus CPH2551 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1755
326.4 IPS |
|
|
Image Classification (HP)
|
100% |
1713
318.6 IPS |
|
|
Image Classification (Q)
|
100% |
2737
509.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2962
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3059
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2940
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
6922
8.21 IPS |
|
|
Object Detection (SP)
|
98% |
1581
125.8 IPS |
|
|
Object Detection (HP)
|
98% |
1582
125.9 IPS |
|
|
Object Detection (Q)
|
83% |
2300
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
5096
60.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2971
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2948
22.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5236
48.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7468
9.69 IPS |
|
|
Style Transfer (HP)
|
89% |
7273
9.44 IPS |
|
|
Style Transfer (Q)
|
98% |
14209
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3669
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
694
926.3 IPS |
|
|
Text Classification (HP)
|
99% |
690
920.9 IPS |
|
|
Text Classification (Q)
|
88% |
1152
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
780
27.7 IPS |
