HONOR PTP-N49
Geekbench AI Score
266
Single Precision Score
242
Half Precision Score
555
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 04:01 PM |
| Views | 5 |
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% |
348
64.8 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.2 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
375
6.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
944
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
395
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
379
4.50 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.50 IPS |
|
|
Face Detection (Q)
|
97% |
817
9.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
322
2.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
322
2.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
759
6.89 IPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1670
2.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
161
5.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
555
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
203
270.7 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.1 IPS |
|
|
Text Classification (Q)
|
91% |
335
450.5 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.14 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.99 IPS |
