HONOR PTP-N49
Geekbench AI Score
258
Single Precision Score
24679
Half Precision Score
53615
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 10:54 PM |
| Views | 8 |
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% |
337
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
17276
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
35871
6.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
12873
208.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
36558
594.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
120585
140.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
471960
552.4 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
17083
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
20055
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (HP)
|
100% |
34169
406.0 IPS |
|
|
Face Detection (Q)
|
97% |
106484
1.27 KIPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
75028
578.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
125736
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
557
0.72 IPS |
|
|
Style Transfer (HP)
|
98% |
97707
126.0 IPS |
|
|
Style Transfer (Q)
|
98% |
485340
625.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
147
5.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51998
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124211
4.60 KIPS |
|
|
Text Classification (SP)
|
100% |
185
247.0 IPS |
|
|
Text Classification (HP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
7824
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
3649
62.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2504
64.5 IPS |
