Honor Magic7 Pro
Geekbench AI Score
257
Single Precision Score
25433
Half Precision Score
60713
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | February 22 2026 01:23 AM |
| Views | 2 |
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% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
18278
3.40 KIPS |
|
|
Image Classification (Q)
|
96% |
40392
7.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
12064
195.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
44666
726.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
122436
142.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
474110
554.9 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
17038
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
24574
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (HP)
|
100% |
33043
392.6 IPS |
|
|
Face Detection (Q)
|
97% |
104466
1.25 KIPS |
|
|
Depth Estimation (SP)
|
100% |
320
2.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
77963
600.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
155770
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
595
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
92157
118.5 IPS |
|
|
Style Transfer (Q)
|
98% |
479673
618.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
146
5.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51901
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125066
4.63 KIPS |
|
|
Text Classification (SP)
|
100% |
183
244.5 IPS |
|
|
Text Classification (HP)
|
100% |
4359
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
11196
15.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
331
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (Q)
|
56% |
2962
76.3 IPS |
