HONOR PTP-N49
Geekbench AI Score
247
Single Precision Score
24383
Half Precision Score
53728
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 11:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
16588
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
40017
7.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
12740
206.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
36107
587.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
120343
140.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
470833
551.1 IPS |
|
|
Object Detection (SP)
|
100% |
126
9.96 IPS |
|
|
Object Detection (HP)
|
100% |
16351
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
19462
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
33542
398.6 IPS |
|
|
Face Detection (Q)
|
97% |
102377
1.22 KIPS |
|
|
Depth Estimation (SP)
|
100% |
299
2.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
74808
576.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
124191
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
556
0.72 IPS |
|
|
Style Transfer (HP)
|
98% |
97761
126.1 IPS |
|
|
Style Transfer (Q)
|
98% |
486081
626.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
147
5.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51799
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124414
4.61 KIPS |
|
|
Text Classification (SP)
|
100% |
185
246.6 IPS |
|
|
Text Classification (HP)
|
100% |
3855
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7827
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
335
5.78 IPS |
|
|
Machine Translation (HP)
|
100% |
3648
62.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2516
64.8 IPS |
