HONOR PTP-N49
Geekbench AI Score
1202
Single Precision Score
1258
Half Precision Score
1858
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 11:26 AM |
| Views | 3 |
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 | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1780
331.1 IPS |
|
|
Image Classification (HP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (Q)
|
100% |
1509
280.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
947
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2170
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2207
2.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
5086
6.03 IPS |
|
|
Object Detection (SP)
|
98% |
688
54.7 IPS |
|
|
Object Detection (HP)
|
98% |
690
54.9 IPS |
|
|
Object Detection (Q)
|
83% |
1306
105.5 IPS |
|
|
Face Detection (SP)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1911
22.7 IPS |
|
|
Face Detection (Q)
|
95% |
3541
42.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1796
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1816
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3400
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4720
6.13 IPS |
|
|
Style Transfer (HP)
|
89% |
4473
5.81 IPS |
|
|
Style Transfer (Q)
|
98% |
9551
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2300
85.2 IPS |
|
|
Text Classification (SP)
|
100% |
259
346.2 IPS |
|
|
Text Classification (HP)
|
99% |
400
533.9 IPS |
|
|
Text Classification (Q)
|
88% |
327
440.4 IPS |
|
|
Machine Translation (SP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
261
9.25 IPS |
