HONOR PTP-N49
Geekbench AI Score
1352
Single Precision Score
1264
Half Precision Score
2187
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:22 PM |
| Views | 5 |
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% |
1780
331.0 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.4 IPS |
|
|
Image Classification (Q)
|
100% |
1799
334.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2084
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2429
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2383
2.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
6072
7.20 IPS |
|
|
Object Detection (SP)
|
98% |
818
65.1 IPS |
|
|
Object Detection (HP)
|
98% |
803
63.9 IPS |
|
|
Object Detection (Q)
|
83% |
1652
133.4 IPS |
|
|
Face Detection (SP)
|
100% |
2176
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2197
26.1 IPS |
|
|
Face Detection (Q)
|
95% |
4148
49.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2129
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2084
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4143
37.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5044
6.55 IPS |
|
|
Style Transfer (HP)
|
89% |
5196
6.75 IPS |
|
|
Style Transfer (Q)
|
98% |
11710
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1009
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2779
103.0 IPS |
|
|
Text Classification (SP)
|
100% |
373
498.2 IPS |
|
|
Text Classification (HP)
|
99% |
356
475.4 IPS |
|
|
Text Classification (Q)
|
88% |
376
507.2 IPS |
|
|
Machine Translation (SP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
