Newland NLS-MT95
Geekbench AI Score
231
Single Precision Score
307
Half Precision Score
307
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 27 2025 08:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT8791 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Newland NLS-MT95 |
| Model ID | Newland NLS-MT95 |
| Motherboard | Newland |
| CPU Information | |
|---|---|
| Name | ARM MT8791 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.1 IPS |
|
|
Image Classification (Q)
|
99% |
182
33.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
362
5.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
188
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.92 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
83% |
189
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
496
5.89 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.37 IPS |
|
|
Face Detection (Q)
|
97% |
632
7.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
309
2.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
396
3.05 IPS |
|
|
Depth Estimation (Q)
|
62% |
319
3.02 IPS |
|
|
Style Transfer (SP)
|
100% |
622
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
873
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
867
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
151
5.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
224
8.31 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.2 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.3 IPS |
|
|
Text Classification (Q)
|
91% |
356
478.3 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.64 IPS |
