HONOR PTP-N49
Geekbench AI Score
269
Single Precision Score
248
Half Precision Score
599
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | January 04 2026 06:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm SM8750 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (Q)
|
99% |
360
67.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
837
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
940
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
393
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.46 IPS |
|
|
Face Detection (HP)
|
100% |
375
4.46 IPS |
|
|
Face Detection (Q)
|
97% |
814
9.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
322
2.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
320
2.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
753
6.83 IPS |
|
|
Style Transfer (SP)
|
100% |
756
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
598
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1656
2.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
553
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
202
270.0 IPS |
|
|
Text Classification (HP)
|
100% |
202
270.3 IPS |
|
|
Text Classification (Q)
|
91% |
332
446.8 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.14 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.01 IPS |
