HONOR PTP-N49
Geekbench AI Score
2823
Single Precision Score
4472
Half Precision Score
3757
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 05:37 PM |
| Views | 5 |
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% |
1681
312.7 IPS |
|
|
Image Classification (HP)
|
100% |
2587
481.0 IPS |
|
|
Image Classification (Q)
|
100% |
2523
469.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3714
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6591
106.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5968
97.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12895
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23038
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23455
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
2154
170.8 IPS |
|
|
Object Detection (Q)
|
85% |
2046
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
5535
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
10391
123.5 IPS |
|
|
Face Detection (Q)
|
97% |
8802
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6666
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9197
71.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7077
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16220
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35500
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
36258
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5733
212.5 IPS |
|
|
Text Classification (SP)
|
35% |
98
954.2 IPS |
|
|
Text Classification (HP)
|
35% |
100
906.4 IPS |
|
|
Text Classification (Q)
|
33% |
79
883.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1914
33.0 IPS |
|
|
Machine Translation (Q)
|
48% |
759
29.1 IPS |
