HONOR PTP-N49
Geekbench AI Score
2844
Single Precision Score
4392
Half Precision Score
3723
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 05:39 PM |
| Views | 8 |
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% |
1839
342.0 IPS |
|
|
Image Classification (HP)
|
100% |
2449
455.5 IPS |
|
|
Image Classification (Q)
|
100% |
2592
482.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3667
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6519
105.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5371
87.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12880
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23129
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
22711
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
2155
170.9 IPS |
|
|
Object Detection (Q)
|
85% |
2071
166.7 IPS |
|
|
Face Detection (SP)
|
100% |
5571
66.2 IPS |
|
|
Face Detection (HP)
|
100% |
10353
123.0 IPS |
|
|
Face Detection (Q)
|
97% |
8709
103.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6707
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9197
71.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7117
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16225
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36916
47.5 IPS |
|
|
Style Transfer (Q)
|
98% |
36778
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5736
212.6 IPS |
|
|
Text Classification (SP)
|
35% |
98
951.7 IPS |
|
|
Text Classification (HP)
|
35% |
88
799.5 IPS |
|
|
Text Classification (Q)
|
33% |
79
889.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (Q)
|
48% |
757
29.0 IPS |
