OnePlus CPH2653
Geekbench AI Score
300
Single Precision Score
357
Half Precision Score
654
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 09:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
155
28.9 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
99% |
569
106.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
329
5.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
393
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
377
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1408
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
87% |
315
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (HP)
|
100% |
567
6.74 IPS |
|
|
Face Detection (Q)
|
97% |
690
8.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
494
3.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
493
3.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1074
9.74 IPS |
|
|
Style Transfer (SP)
|
100% |
896
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2330
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
261
9.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
878
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.2 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.6 IPS |
|
|
Text Classification (Q)
|
91% |
284
381.9 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (Q)
|
57% |
404
9.87 IPS |
