OnePlus 10 Pro 5G
Geekbench AI Score
1036
Single Precision Score
1016
Half Precision Score
2395
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 04:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 10 Pro 5G |
| Model ID | OnePlus NE2217 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.9 IPS |
|
|
Image Classification (Q)
|
100% |
1789
332.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1997
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2234
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2015
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
4599
5.45 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (Q)
|
83% |
1706
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
3707
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1980
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1917
14.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3891
35.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3510
4.56 IPS |
|
|
Style Transfer (HP)
|
89% |
3494
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
10252
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2629
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
519
692.1 IPS |
|
|
Text Classification (HP)
|
100% |
507
677.0 IPS |
|
|
Text Classification (Q)
|
88% |
966
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
591
21.0 IPS |
