Honor Magic7 Pro
Geekbench AI Score
701
Single Precision Score
28577
Half Precision Score
71380
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Mark52 |
| Upload Date | April 07 2026 07:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
431
80.2 IPS |
|
|
Image Classification (HP)
|
100% |
21297
3.96 KIPS |
|
|
Image Classification (Q)
|
96% |
47992
8.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
13479
218.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
52677
856.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
123381
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
482438
564.7 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
19874
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
31266
2.52 KIPS |
|
|
Face Detection (SP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
41977
498.8 IPS |
|
|
Face Detection (Q)
|
97% |
157584
1.88 KIPS |
|
|
Depth Estimation (SP)
|
100% |
879
6.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
81540
628.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
173166
1.61 KIPS |
|
|
Style Transfer (SP)
|
100% |
1502
1.93 IPS |
|
|
Style Transfer (HP)
|
100% |
93161
119.8 IPS |
|
|
Style Transfer (Q)
|
98% |
490259
632.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55524
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
137116
5.08 KIPS |
|
|
Text Classification (SP)
|
100% |
644
859.6 IPS |
|
|
Text Classification (HP)
|
100% |
4495
6.00 KIPS |
|
|
Text Classification (Q)
|
93% |
11950
16.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6484
111.7 IPS |
|
|
Machine Translation (Q)
|
56% |
4108
105.8 IPS |
