HONOR PTP-N49
Geekbench AI Score
262
Single Precision Score
240
Half Precision Score
554
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 07:14 PM |
| Views | 9 |
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% |
135
25.0 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
936
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
394
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (HP)
|
100% |
375
4.46 IPS |
|
|
Face Detection (Q)
|
97% |
816
9.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
319
2.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
318
2.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
753
6.84 IPS |
|
|
Style Transfer (SP)
|
100% |
596
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
594
0.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1665
2.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
552
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.5 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.7 IPS |
|
|
Text Classification (Q)
|
91% |
335
450.6 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (Q)
|
57% |
289
7.06 IPS |
