HONOR PTP-N49
Geekbench AI Score
1337
Single Precision Score
1343
Half Precision Score
2236
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 03:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1635
304.2 IPS |
|
|
Image Classification (HP)
|
100% |
1698
315.7 IPS |
|
|
Image Classification (Q)
|
100% |
1809
336.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2211
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2487
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2495
2.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
6052
7.18 IPS |
|
|
Object Detection (SP)
|
98% |
783
62.3 IPS |
|
|
Object Detection (HP)
|
98% |
823
65.5 IPS |
|
|
Object Detection (Q)
|
83% |
1763
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
2019
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (Q)
|
95% |
3834
45.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2137
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2062
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4394
40.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5062
6.57 IPS |
|
|
Style Transfer (HP)
|
89% |
5101
6.62 IPS |
|
|
Style Transfer (Q)
|
98% |
11649
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2705
100.2 IPS |
|
|
Text Classification (SP)
|
100% |
355
473.7 IPS |
|
|
Text Classification (HP)
|
99% |
367
489.9 IPS |
|
|
Text Classification (Q)
|
88% |
458
617.6 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
636
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
