HONOR PTP-N49
Geekbench AI Score
2689
Single Precision Score
4306
Half Precision Score
3689
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 03:43 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% |
1497
278.3 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.3 IPS |
|
|
Image Classification (Q)
|
100% |
2630
489.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3235
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6198
100.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6073
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12998
15.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
23260
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22622
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
2187
173.4 IPS |
|
|
Object Detection (Q)
|
85% |
2081
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
5520
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
10464
124.3 IPS |
|
|
Face Detection (Q)
|
97% |
8910
106.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6677
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9253
71.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
7160
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15899
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36536
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36391
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3608
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5937
219.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5753
213.2 IPS |
|
|
Text Classification (SP)
|
35% |
94
913.2 IPS |
|
|
Text Classification (HP)
|
35% |
91
830.9 IPS |
|
|
Text Classification (Q)
|
33% |
76
851.4 IPS |
|
|
Machine Translation (SP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (Q)
|
48% |
613
23.5 IPS |
