HONOR PTP-N49
Geekbench AI Score
990
Single Precision Score
983
Half Precision Score
1741
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 05:23 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% |
376
69.9 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.1 IPS |
|
|
Image Classification (Q)
|
100% |
901
167.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1952
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1637
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1351
1.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
4141
4.91 IPS |
|
|
Object Detection (SP)
|
98% |
379
30.2 IPS |
|
|
Object Detection (HP)
|
98% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
83% |
1328
107.3 IPS |
|
|
Face Detection (SP)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
821
9.75 IPS |
|
|
Face Detection (Q)
|
95% |
290
3.46 IPS |
|
|
Depth Estimation (SP)
|
99% |
739
5.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
4055
31.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9917
90.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10384
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10099
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21951
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2196
81.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2213
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4602
170.5 IPS |
|
|
Text Classification (SP)
|
100% |
736
981.9 IPS |
|
|
Text Classification (HP)
|
99% |
121
161.2 IPS |
|
|
Text Classification (Q)
|
88% |
163
219.2 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
559
19.9 IPS |
