Honor Magic7 Pro
Geekbench AI Score
673
Single Precision Score
697
Half Precision Score
1650
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Mark52 |
| Upload Date | April 07 2026 07:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Honor Magic7 Pro |
| 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% |
409
76.1 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (Q)
|
99% |
1161
216.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1077
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
707
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
2857
3.34 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.8 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
87% |
1233
98.9 IPS |
|
|
Face Detection (SP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
2460
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
865
6.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
869
6.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
2166
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1503
1.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1506
1.94 IPS |
|
|
Style Transfer (Q)
|
98% |
4250
5.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1768
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
502
669.4 IPS |
|
|
Text Classification (HP)
|
100% |
681
908.6 IPS |
|
|
Text Classification (Q)
|
91% |
1082
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
57% |
785
19.2 IPS |
