OnePlus Nord CE 5G
Geekbench AI Score
184
Single Precision Score
279
Half Precision Score
285
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 01:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 750G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus Nord CE 5G |
| Model ID | OnePlus EB2103 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (HP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (Q)
|
97% |
177
33.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
170
2.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
216
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
319
0.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
317
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
94
7.47 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
89% |
144
11.5 IPS |
|
|
Face Detection (SP)
|
100% |
248
2.94 IPS |
|
|
Face Detection (HP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (Q)
|
97% |
443
5.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
263
2.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
445
3.44 IPS |
|
|
Depth Estimation (Q)
|
62% |
365
3.45 IPS |
|
|
Style Transfer (SP)
|
100% |
507
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1126
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1123
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
231
8.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
226
8.39 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.4 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.9 IPS |
|
|
Text Classification (Q)
|
91% |
292
391.9 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.61 IPS |
|
|
Machine Translation (Q)
|
57% |
216
5.28 IPS |
