HONOR PTP-N49
Geekbench AI Score
1287
Single Precision Score
1265
Half Precision Score
2167
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 03:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
954
177.4 IPS |
|
|
Image Classification (HP)
|
100% |
735
136.7 IPS |
|
|
Image Classification (Q)
|
100% |
1479
275.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2239
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2462
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
5910
7.01 IPS |
|
|
Object Detection (SP)
|
98% |
821
65.4 IPS |
|
|
Object Detection (HP)
|
98% |
811
64.5 IPS |
|
|
Object Detection (Q)
|
83% |
1794
144.9 IPS |
|
|
Face Detection (SP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2199
26.1 IPS |
|
|
Face Detection (Q)
|
95% |
3721
44.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2161
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2121
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4366
40.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5182
6.73 IPS |
|
|
Style Transfer (HP)
|
89% |
5256
6.82 IPS |
|
|
Style Transfer (Q)
|
98% |
11691
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2653
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
325
434.4 IPS |
|
|
Text Classification (HP)
|
99% |
394
525.7 IPS |
|
|
Text Classification (Q)
|
88% |
389
524.2 IPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
333
11.8 IPS |
