Honor Magic7 Pro
Geekbench AI Score
239
Single Precision Score
25169
Half Precision Score
60111
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | February 22 2026 01:36 AM |
| 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% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
17989
3.35 KIPS |
|
|
Image Classification (Q)
|
96% |
40324
7.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
11977
194.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
43827
712.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
122120
142.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
472919
553.5 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.81 IPS |
|
|
Object Detection (HP)
|
100% |
16742
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
24024
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (HP)
|
100% |
32212
382.8 IPS |
|
|
Face Detection (Q)
|
97% |
100363
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
295
2.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
77428
596.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
153365
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
552
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
92105
118.4 IPS |
|
|
Style Transfer (Q)
|
98% |
479859
618.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51957
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125042
4.63 KIPS |
|
|
Text Classification (SP)
|
100% |
185
246.7 IPS |
|
|
Text Classification (HP)
|
100% |
4358
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
11287
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
331
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
4453
76.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2943
75.8 IPS |
