HONOR PTP-N49
Geekbench AI Score
263
Single Precision Score
25252
Half Precision Score
54958
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 09:27 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% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
18641
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
40077
7.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
12868
208.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
37822
615.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
121787
142.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
472620
553.2 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
17123
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
19967
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
378
4.50 IPS |
|
|
Face Detection (HP)
|
100% |
35258
418.9 IPS |
|
|
Face Detection (Q)
|
97% |
106548
1.27 KIPS |
|
|
Depth Estimation (SP)
|
100% |
319
2.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
79055
609.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
131990
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
595
0.76 IPS |
|
|
Style Transfer (HP)
|
98% |
97958
126.3 IPS |
|
|
Style Transfer (Q)
|
98% |
488113
629.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51861
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124303
4.61 KIPS |
|
|
Text Classification (SP)
|
100% |
199
265.5 IPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
7853
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (HP)
|
100% |
3869
66.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2623
67.6 IPS |
