HONOR PTP-N49
Geekbench AI Score
2681
Single Precision Score
4413
Half Precision Score
3746
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 03:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1528
284.1 IPS |
|
|
Image Classification (HP)
|
100% |
2745
510.4 IPS |
|
|
Image Classification (Q)
|
100% |
2588
481.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3149
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6291
102.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6085
98.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12753
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23335
27.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22617
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
99% |
2216
175.8 IPS |
|
|
Object Detection (Q)
|
85% |
2085
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
5534
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
10438
124.0 IPS |
|
|
Face Detection (Q)
|
97% |
8876
105.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6660
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9219
71.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
7108
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15824
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36767
47.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36416
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3613
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5973
220.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5762
213.5 IPS |
|
|
Text Classification (SP)
|
35% |
94
918.0 IPS |
|
|
Text Classification (HP)
|
35% |
91
826.6 IPS |
|
|
Text Classification (Q)
|
33% |
76
856.2 IPS |
|
|
Machine Translation (SP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (Q)
|
48% |
729
28.0 IPS |
