nubia NT01
Geekbench AI Score
2826
Single Precision Score
2827
Half Precision Score
4433
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 04:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NT01 |
| Model ID | nubia NT01 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (HP)
|
100% |
2471
459.6 IPS |
|
|
Image Classification (Q)
|
100% |
3632
675.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2691
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2734
44.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4306
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4622
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4515
5.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
10508
12.5 IPS |
|
|
Object Detection (SP)
|
98% |
2362
188.0 IPS |
|
|
Object Detection (HP)
|
98% |
2379
189.3 IPS |
|
|
Object Detection (Q)
|
83% |
3536
285.6 IPS |
|
|
Face Detection (SP)
|
100% |
4379
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
4370
51.9 IPS |
|
|
Face Detection (Q)
|
95% |
7663
91.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4213
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4176
32.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6555
60.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9869
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9835
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19626
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4810
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
1305
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
816
29.0 IPS |
