HONOR PTP-N49
Geekbench AI Score
2727
Single Precision Score
4411
Half Precision Score
3661
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 03:36 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
2779
516.8 IPS |
|
|
Image Classification (Q)
|
100% |
2580
479.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3157
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6685
108.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6104
99.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12757
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23108
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
22808
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
99% |
2202
174.7 IPS |
|
|
Object Detection (Q)
|
85% |
2077
167.2 IPS |
|
|
Face Detection (SP)
|
100% |
5616
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
10542
125.3 IPS |
|
|
Face Detection (Q)
|
97% |
8998
107.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6685
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9164
70.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7143
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16117
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36568
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36728
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5772
213.9 IPS |
|
|
Text Classification (SP)
|
35% |
95
926.9 IPS |
|
|
Text Classification (HP)
|
35% |
93
841.7 IPS |
|
|
Text Classification (Q)
|
33% |
77
865.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (Q)
|
48% |
554
21.3 IPS |
