HONOR PTP-N49
Geekbench AI Score
2679
Single Precision Score
4253
Half Precision Score
3605
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 05:49 PM |
| Views | 9 |
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% |
1523
283.3 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.8 IPS |
|
|
Image Classification (Q)
|
100% |
2565
477.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2995
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6131
99.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5943
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12745
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23047
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22452
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
99% |
2125
168.6 IPS |
|
|
Object Detection (Q)
|
85% |
2048
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
5600
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
10368
123.2 IPS |
|
|
Face Detection (Q)
|
97% |
8205
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6642
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9147
70.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
7107
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16063
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36451
46.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36180
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3621
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5674
210.3 IPS |
|
|
Text Classification (SP)
|
35% |
93
909.6 IPS |
|
|
Text Classification (HP)
|
35% |
88
803.3 IPS |
|
|
Text Classification (Q)
|
33% |
78
869.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (Q)
|
48% |
567
21.7 IPS |
