HONOR PTP-N49
Geekbench AI Score
1015
Single Precision Score
1971
Half Precision Score
1761
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 12:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.3 IPS |
|
|
Image Classification (Q)
|
99% |
1627
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2666
43.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1109
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1615
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2795
3.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
2789
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (Q)
|
86% |
1277
102.5 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5219
62.0 IPS |
|
|
Face Detection (Q)
|
97% |
4706
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1568
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4614
35.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3807
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5811
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
12431
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12344
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2114
78.3 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.3 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.8 IPS |
|
|
Text Classification (Q)
|
91% |
335
450.8 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.97 IPS |
