HONOR PTP-N49
Geekbench AI Score
244
Single Precision Score
222
Half Precision Score
500
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 06:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm SM8750 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR PTP-N49 |
| Model ID | HONOR PTP-N49 |
| Motherboard | PTP |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm SM8750 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
99% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
344
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
838
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.71 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (Q)
|
87% |
347
27.8 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (Q)
|
97% |
745
8.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
299
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
298
2.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
680
6.17 IPS |
|
|
Style Transfer (SP)
|
100% |
552
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
554
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1496
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
144
5.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
511
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
188
251.0 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.0 IPS |
|
|
Text Classification (Q)
|
91% |
311
417.8 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.78 IPS |
|
|
Machine Translation (Q)
|
57% |
250
6.11 IPS |
