HONOR PTP-N49
Geekbench AI Score
1395
Single Precision Score
1383
Half Precision Score
2190
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 03:05 PM |
| Views | 6 |
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% |
1789
332.8 IPS |
|
|
Image Classification (HP)
|
100% |
1640
304.9 IPS |
|
|
Image Classification (Q)
|
100% |
1633
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2269
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2442
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2494
2.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
6137
7.28 IPS |
|
|
Object Detection (SP)
|
98% |
835
66.5 IPS |
|
|
Object Detection (HP)
|
98% |
798
63.5 IPS |
|
|
Object Detection (Q)
|
83% |
1815
146.6 IPS |
|
|
Face Detection (SP)
|
100% |
2033
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (Q)
|
95% |
3906
46.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2115
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2083
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4398
40.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5305
6.89 IPS |
|
|
Style Transfer (HP)
|
89% |
5336
6.93 IPS |
|
|
Style Transfer (Q)
|
98% |
11547
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2424
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.0 IPS |
|
|
Text Classification (HP)
|
99% |
428
570.7 IPS |
|
|
Text Classification (Q)
|
88% |
381
514.0 IPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
336
11.9 IPS |
