HONOR PTP-N49
Geekbench AI Score
264
Single Precision Score
25544
Half Precision Score
61130
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | January 04 2026 07:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm SM8750 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
18287
3.40 KIPS |
|
|
Image Classification (Q)
|
96% |
40890
7.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
12069
195.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
44499
723.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
121764
142.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
474078
554.9 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
17124
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
24688
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
381
4.53 IPS |
|
|
Face Detection (HP)
|
100% |
32990
392.0 IPS |
|
|
Face Detection (Q)
|
97% |
104310
1.24 KIPS |
|
|
Depth Estimation (SP)
|
100% |
322
2.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
77948
600.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
155614
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
92253
118.6 IPS |
|
|
Style Transfer (Q)
|
98% |
481227
620.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52194
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125896
4.67 KIPS |
|
|
Text Classification (SP)
|
100% |
200
266.3 IPS |
|
|
Text Classification (HP)
|
100% |
4377
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
11294
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (HP)
|
100% |
4743
81.7 IPS |
|
|
Machine Translation (Q)
|
56% |
3081
79.4 IPS |
