HONOR PTP-N49
Geekbench AI Score
2729
Single Precision Score
4326
Half Precision Score
3636
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 05:44 PM |
| Views | 7 |
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% |
1717
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.3 IPS |
|
|
Image Classification (Q)
|
100% |
2536
471.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3196
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6560
106.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5969
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12829
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23368
27.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
22544
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.0 IPS |
|
|
Object Detection (HP)
|
99% |
2273
180.3 IPS |
|
|
Object Detection (Q)
|
85% |
2082
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
5469
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
10281
122.2 IPS |
|
|
Face Detection (Q)
|
97% |
8392
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6682
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9271
71.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
7146
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15982
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36774
47.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35152
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3597
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5798
214.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5774
214.0 IPS |
|
|
Text Classification (SP)
|
35% |
94
917.8 IPS |
|
|
Text Classification (HP)
|
35% |
89
812.2 IPS |
|
|
Text Classification (Q)
|
33% |
77
862.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (Q)
|
48% |
607
23.3 IPS |
