OnePlus Nord
Geekbench AI Score
535
Single Precision Score
537
Half Precision Score
1004
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | GELVUJSH |
| Upload Date | September 15 2025 10:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 765G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus Nord |
| Model ID | OnePlus AC2003 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (Q)
|
100% |
690
128.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
755
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1172
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1150
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1679
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
83% |
687
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.79 IPS |
|
|
Face Detection (Q)
|
95% |
1546
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
941
7.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
936
7.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1528
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1912
2.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1906
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3885
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
945
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.4 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.6 IPS |
|
|
Text Classification (Q)
|
88% |
552
745.1 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
50% |
365
13.0 IPS |
