HONOR PTP-N49
Geekbench AI Score
2731
Single Precision Score
4329
Half Precision Score
3681
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 03:41 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% |
1555
289.2 IPS |
|
|
Image Classification (HP)
|
100% |
2441
454.0 IPS |
|
|
Image Classification (Q)
|
100% |
2649
492.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3434
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6621
107.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5554
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12933
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23478
27.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
22803
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
99% |
2211
175.4 IPS |
|
|
Object Detection (Q)
|
85% |
2123
170.9 IPS |
|
|
Face Detection (SP)
|
100% |
5540
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
10499
124.7 IPS |
|
|
Face Detection (Q)
|
97% |
8779
104.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6712
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9216
71.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7151
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16058
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36669
47.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35695
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3617
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5760
213.5 IPS |
|
|
Text Classification (SP)
|
35% |
94
919.3 IPS |
|
|
Text Classification (HP)
|
35% |
89
809.0 IPS |
|
|
Text Classification (Q)
|
33% |
76
853.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (Q)
|
48% |
655
25.1 IPS |
