HONOR PTP-N49
Geekbench AI Score
266
Single Precision Score
236
Half Precision Score
534
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | January 04 2026 07:02 AM |
| Views | 5 |
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% |
328
60.9 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (Q)
|
99% |
360
67.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
370
6.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
350
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
944
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
389
31.2 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (Q)
|
97% |
814
9.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
322
2.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
320
2.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
750
6.81 IPS |
|
|
Style Transfer (SP)
|
100% |
595
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1651
2.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
154
5.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
499
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.4 IPS |
|
|
Text Classification (HP)
|
100% |
187
249.6 IPS |
|
|
Text Classification (Q)
|
91% |
301
404.5 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (Q)
|
57% |
257
6.28 IPS |
