OnePlus CPH2653
Geekbench AI Score
166
Single Precision Score
22969
Half Precision Score
53010
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | nithinmohantk |
| Upload Date | January 20 2025 07:34 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2653 |
| Model ID | OnePlus CPH2653 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (HP)
|
100% |
15686
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
37578
7.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
11303
183.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
34674
563.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
119215
139.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
463678
542.7 IPS |
|
|
Object Detection (SP)
|
100% |
94
7.46 IPS |
|
|
Object Detection (HP)
|
100% |
14857
1.18 KIPS |
|
|
Object Detection (Q)
|
85% |
17672
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
250
2.97 IPS |
|
|
Face Detection (HP)
|
100% |
30592
363.5 IPS |
|
|
Face Detection (Q)
|
97% |
115412
1.38 KIPS |
|
|
Depth Estimation (SP)
|
100% |
212
1.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
73198
563.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
128619
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
400
0.51 IPS |
|
|
Style Transfer (HP)
|
98% |
96263
124.1 IPS |
|
|
Style Transfer (Q)
|
98% |
480944
620.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49584
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
121131
4.49 KIPS |
|
|
Text Classification (SP)
|
100% |
136
182.0 IPS |
|
|
Text Classification (HP)
|
100% |
3783
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
7656
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (HP)
|
100% |
3219
55.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2479
63.9 IPS |
