HONOR PTP-N49
Geekbench AI Score
270
Single Precision Score
24531
Half Precision Score
54307
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 10:44 PM |
| Views | 6 |
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% |
362
67.4 IPS |
|
|
Image Classification (HP)
|
100% |
16066
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
40048
7.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
12708
206.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
36519
593.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
251
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
120692
140.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
471986
552.4 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
17126
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
19850
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (HP)
|
100% |
34407
408.8 IPS |
|
|
Face Detection (Q)
|
97% |
106226
1.27 KIPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
74575
574.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
124857
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
601
0.77 IPS |
|
|
Style Transfer (HP)
|
98% |
97914
126.3 IPS |
|
|
Style Transfer (Q)
|
98% |
487560
628.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51815
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124420
4.61 KIPS |
|
|
Text Classification (SP)
|
100% |
199
266.2 IPS |
|
|
Text Classification (HP)
|
100% |
3869
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7867
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (Q)
|
56% |
2573
66.3 IPS |
