nubia Z2458
Geekbench AI Score
361
Single Precision Score
362
Half Precision Score
643
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 24 2025 07:54 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | nubia Z2458 |
| Model ID | nubia Z2458 |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 7.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
100% |
464
86.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
599
9.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
828
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
812
0.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
1340
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (Q)
|
83% |
447
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (HP)
|
100% |
453
5.39 IPS |
|
|
Face Detection (Q)
|
95% |
1139
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
576
4.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
618
4.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1205
11.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1644
2.13 IPS |
|
|
Style Transfer (HP)
|
89% |
1501
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
3128
4.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
672
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.3 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.8 IPS |
|
|
Text Classification (Q)
|
88% |
207
278.9 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (Q)
|
50% |
122
4.34 IPS |
