OnePlus CPH2655
Geekbench AI Score
1056
Single Precision Score
2018
Half Precision Score
1965
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SquirtleSquad |
| Upload Date | January 30 2025 08:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2655 |
| Model ID | OnePlus CPH2655 |
| 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% |
743
138.2 IPS |
|
|
Image Classification (HP)
|
100% |
1584
294.6 IPS |
|
|
Image Classification (Q)
|
99% |
1662
309.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2978
48.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2462
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1629
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2778
3.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2773
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
553
43.9 IPS |
|
|
Object Detection (HP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (Q)
|
86% |
1387
111.4 IPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6269
74.5 IPS |
|
|
Face Detection (Q)
|
97% |
4330
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1562
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4673
36.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3852
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5825
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
12556
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
12520
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
657
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2234
82.8 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.2 IPS |
|
|
Text Classification (HP)
|
100% |
206
274.5 IPS |
|
|
Text Classification (Q)
|
91% |
406
546.0 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.04 IPS |
