OnePlus 10 Pro 5G
Geekbench AI Score
179
Single Precision Score
10594
Half Precision Score
26048
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 06:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 10 Pro 5G |
| Model ID | OnePlus NE2210 |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (HP)
|
100% |
7621
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
20691
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
6275
101.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17959
292.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
38116
44.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
220157
258.1 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.17 IPS |
|
|
Object Detection (HP)
|
100% |
7371
584.6 IPS |
|
|
Object Detection (Q)
|
88% |
10860
870.0 IPS |
|
|
Face Detection (SP)
|
100% |
274
3.26 IPS |
|
|
Face Detection (HP)
|
100% |
16461
195.6 IPS |
|
|
Face Detection (Q)
|
97% |
57580
686.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
241
1.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
27564
213.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
59468
547.5 IPS |
|
|
Style Transfer (SP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (HP)
|
98% |
38580
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
209075
269.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20748
766.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
49868
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
150
200.0 IPS |
|
|
Text Classification (HP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (Q)
|
94% |
4013
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
2029
34.9 IPS |
|
|
Machine Translation (Q)
|
50% |
1130
39.1 IPS |
