HONOR PTP-N49
Geekbench AI Score
2661
Single Precision Score
4413
Half Precision Score
3649
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 05:46 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% |
1524
283.4 IPS |
|
|
Image Classification (HP)
|
100% |
3162
587.9 IPS |
|
|
Image Classification (Q)
|
100% |
2530
470.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3091
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6588
106.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5973
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12732
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23306
27.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22704
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
99% |
2115
167.8 IPS |
|
|
Object Detection (Q)
|
85% |
2097
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
5432
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
10442
124.1 IPS |
|
|
Face Detection (Q)
|
97% |
8617
102.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6616
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9194
71.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7126
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15987
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36461
46.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36203
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3584
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5830
215.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5800
214.9 IPS |
|
|
Text Classification (SP)
|
35% |
91
888.3 IPS |
|
|
Text Classification (HP)
|
35% |
87
795.3 IPS |
|
|
Text Classification (Q)
|
33% |
76
846.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (Q)
|
48% |
594
22.8 IPS |
