HONOR PTP-N49
Geekbench AI Score
263
Single Precision Score
241
Half Precision Score
554
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 16 2025 09:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
325
60.4 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.6 IPS |
|
|
Image Classification (Q)
|
99% |
361
67.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
945
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
395
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
379
4.50 IPS |
|
|
Face Detection (Q)
|
97% |
817
9.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
320
2.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
321
2.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
760
6.89 IPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1663
2.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
160
5.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
554
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.4 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (Q)
|
91% |
335
450.7 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.96 IPS |
