HONOR PTP-N49
Geekbench AI Score
2669
Single Precision Score
4225
Half Precision Score
3683
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 03:38 PM |
| Views | 11 |
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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (Q)
|
100% |
2615
486.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3052
49.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6660
108.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6103
99.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12757
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23030
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22715
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
2225
176.5 IPS |
|
|
Object Detection (Q)
|
85% |
2140
172.3 IPS |
|
|
Face Detection (SP)
|
100% |
5551
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
10474
124.5 IPS |
|
|
Face Detection (Q)
|
97% |
8774
104.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6686
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9264
71.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
7154
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15824
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35849
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36483
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3638
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5760
213.5 IPS |
|
|
Text Classification (SP)
|
35% |
87
844.0 IPS |
|
|
Text Classification (HP)
|
35% |
80
729.2 IPS |
|
|
Text Classification (Q)
|
33% |
71
796.2 IPS |
|
|
Machine Translation (SP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
48% |
633
24.3 IPS |
