OnePlus CPH2653
Geekbench AI Score
225
Single Precision Score
25009
Half Precision Score
55235
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dekurver |
| Upload Date | January 12 2025 03:36 PM |
| Views | 2 |
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% |
125
23.3 IPS |
|
|
Image Classification (HP)
|
100% |
18138
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
41106
7.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
12447
201.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
37905
616.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
121476
141.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
471423
551.8 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.91 IPS |
|
|
Object Detection (HP)
|
100% |
17186
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
19720
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
34931
415.1 IPS |
|
|
Face Detection (Q)
|
97% |
111449
1.33 KIPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
78392
604.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
131279
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
562
0.72 IPS |
|
|
Style Transfer (HP)
|
98% |
97996
126.4 IPS |
|
|
Style Transfer (Q)
|
98% |
486615
627.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51698
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125028
4.63 KIPS |
|
|
Text Classification (SP)
|
100% |
185
247.5 IPS |
|
|
Text Classification (HP)
|
100% |
3893
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8006
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2561
66.0 IPS |
