HONOR PTP-N49
Geekbench AI Score
324
Single Precision Score
24841
Half Precision Score
53728
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 09:50 PM |
| Views | 3 |
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
62.8 IPS |
|
|
Image Classification (HP)
|
100% |
18474
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
36177
6.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
12741
206.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
36859
599.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
120870
141.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
471621
552.0 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
17108
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
19849
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
377
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
34027
404.3 IPS |
|
|
Face Detection (Q)
|
97% |
105657
1.26 KIPS |
|
|
Depth Estimation (SP)
|
100% |
319
2.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
74452
573.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
124115
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
1422
1.83 IPS |
|
|
Style Transfer (HP)
|
98% |
97884
126.2 IPS |
|
|
Style Transfer (Q)
|
98% |
488055
629.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
5.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51792
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
123943
4.59 KIPS |
|
|
Text Classification (SP)
|
100% |
200
266.7 IPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7853
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2578
66.4 IPS |
