OnePlus CPH2653
Geekbench AI Score
323
Single Precision Score
23855
Half Precision Score
52853
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 09:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
17439
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
39467
7.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
11371
184.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
34953
568.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
119906
139.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
471894
552.3 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
16322
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
18534
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
566
6.72 IPS |
|
|
Face Detection (HP)
|
100% |
32289
383.7 IPS |
|
|
Face Detection (Q)
|
97% |
93420
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
485
3.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
75204
579.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
131351
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
888
1.14 IPS |
|
|
Style Transfer (HP)
|
98% |
97591
125.8 IPS |
|
|
Style Transfer (Q)
|
98% |
487246
628.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50892
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133534
4.95 KIPS |
|
|
Text Classification (SP)
|
100% |
185
247.3 IPS |
|
|
Text Classification (HP)
|
100% |
3804
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
7759
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2276
58.6 IPS |
