HONOR PTP-N49
Geekbench AI Score
294
Single Precision Score
25172
Half Precision Score
55204
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 16 2025 09:16 PM |
| Views | 9 |
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% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
18733
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
40745
7.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
12856
208.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
36830
598.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
121200
141.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
471881
552.3 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
16959
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
19997
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (HP)
|
100% |
35510
421.9 IPS |
|
|
Face Detection (Q)
|
97% |
110474
1.32 KIPS |
|
|
Depth Estimation (SP)
|
100% |
322
2.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
78327
603.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
133240
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
98% |
98069
126.5 IPS |
|
|
Style Transfer (Q)
|
98% |
487998
629.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51284
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
123964
4.59 KIPS |
|
|
Text Classification (SP)
|
100% |
200
266.7 IPS |
|
|
Text Classification (HP)
|
100% |
3892
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7975
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (HP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2614
67.3 IPS |
