HONOR PTP-N49
Geekbench AI Score
2888
Single Precision Score
2865
Half Precision Score
5242
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | slavatsarev |
| Upload Date | November 12 2025 03:16 PM |
| Views | 2 |
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% |
1793
333.4 IPS |
|
|
Image Classification (HP)
|
100% |
2247
417.9 IPS |
|
|
Image Classification (Q)
|
100% |
4571
850.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4787
77.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5491
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
5347
6.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
13473
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1806
143.7 IPS |
|
|
Object Detection (HP)
|
98% |
1793
142.7 IPS |
|
|
Object Detection (Q)
|
83% |
4195
338.9 IPS |
|
|
Face Detection (SP)
|
100% |
4495
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
4534
53.9 IPS |
|
|
Face Detection (Q)
|
95% |
10376
123.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4747
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4670
36.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10920
100.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11679
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11525
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25299
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2450
90.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6905
255.9 IPS |
|
|
Text Classification (SP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1079
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
594
21.1 IPS |
