HONOR PTP-N49
Geekbench AI Score
1285
Single Precision Score
1276
Half Precision Score
2190
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 03:19 PM |
| Views | 10 |
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% |
895
166.4 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.2 IPS |
|
|
Image Classification (Q)
|
100% |
1701
316.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2196
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2452
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2529
2.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
6091
7.22 IPS |
|
|
Object Detection (SP)
|
98% |
807
64.2 IPS |
|
|
Object Detection (HP)
|
98% |
835
66.4 IPS |
|
|
Object Detection (Q)
|
83% |
1701
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
2245
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2184
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3970
47.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2042
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2072
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4185
38.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5217
6.77 IPS |
|
|
Style Transfer (HP)
|
89% |
5247
6.81 IPS |
|
|
Style Transfer (Q)
|
98% |
11545
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1131
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2459
91.1 IPS |
|
|
Text Classification (SP)
|
100% |
386
514.9 IPS |
|
|
Text Classification (HP)
|
99% |
373
498.1 IPS |
|
|
Text Classification (Q)
|
88% |
436
588.3 IPS |
|
|
Machine Translation (SP)
|
100% |
647
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
