HONOR PTP-N49
Geekbench AI Score
266
Single Precision Score
24695
Half Precision Score
54055
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 01:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
17139
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
36170
6.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
12816
207.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
36623
595.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
120720
140.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
472450
553.0 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
16664
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
19914
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
385
4.57 IPS |
|
|
Face Detection (HP)
|
100% |
34099
405.2 IPS |
|
|
Face Detection (Q)
|
97% |
106895
1.27 KIPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
75617
582.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
127351
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
98% |
97895
126.2 IPS |
|
|
Style Transfer (Q)
|
98% |
488225
629.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52116
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124796
4.62 KIPS |
|
|
Text Classification (SP)
|
100% |
200
266.5 IPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7934
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (Q)
|
56% |
2597
66.9 IPS |
