HONOR PTP-N49
Geekbench AI Score
268
Single Precision Score
25537
Half Precision Score
61225
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | January 04 2026 07:21 AM |
| Views | 8 |
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% |
379
70.4 IPS |
|
|
Image Classification (HP)
|
100% |
18340
3.41 KIPS |
|
|
Image Classification (Q)
|
96% |
40606
7.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
12036
195.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
45276
736.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
122539
143.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
473669
554.4 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
17118
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
24756
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (HP)
|
100% |
32900
390.9 IPS |
|
|
Face Detection (Q)
|
97% |
104613
1.25 KIPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
77937
600.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
155750
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
598
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
92126
118.4 IPS |
|
|
Style Transfer (Q)
|
98% |
480401
619.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52097
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125338
4.64 KIPS |
|
|
Text Classification (SP)
|
100% |
199
265.2 IPS |
|
|
Text Classification (HP)
|
100% |
4371
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
11458
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (HP)
|
100% |
4736
81.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3054
78.7 IPS |
