OnePlus CPH2747
Geekbench AI Score
362
Single Precision Score
30424
Half Precision Score
74845
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | iClondike |
| Upload Date | January 24 2026 04:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2747 |
| Model ID | OnePlus CPH2747 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
315
58.7 IPS |
|
|
Image Classification (HP)
|
100% |
25061
4.66 KIPS |
|
|
Image Classification (Q)
|
96% |
49610
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
16318
264.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
62683
1.02 KIPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
161085
188.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
620588
726.4 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
22270
1.77 KIPS |
|
|
Object Detection (Q)
|
85% |
28973
2.33 KIPS |
|
|
Face Detection (SP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (HP)
|
100% |
42320
502.9 IPS |
|
|
Face Detection (Q)
|
97% |
120299
1.43 KIPS |
|
|
Depth Estimation (SP)
|
100% |
499
3.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
83001
639.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
186992
1.74 KIPS |
|
|
Style Transfer (SP)
|
100% |
886
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
97434
125.3 IPS |
|
|
Style Transfer (Q)
|
98% |
582712
751.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54266
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
169557
6.28 KIPS |
|
|
Text Classification (SP)
|
100% |
308
410.6 IPS |
|
|
Text Classification (HP)
|
100% |
4265
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
11278
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
5848
100.7 IPS |
|
|
Machine Translation (Q)
|
56% |
3936
101.4 IPS |
