Honor Magic7 Pro
Geekbench AI Score
2569
Single Precision Score
3965
Half Precision Score
3354
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Mark52 |
| Upload Date | April 07 2026 07:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
2430
451.9 IPS |
|
|
Image Classification (Q)
|
100% |
2274
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5225
84.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5247
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12639
14.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
22721
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
22340
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
99% |
1946
154.4 IPS |
|
|
Object Detection (Q)
|
85% |
2026
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
5272
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
9414
111.9 IPS |
|
|
Face Detection (Q)
|
97% |
7830
93.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6528
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9105
70.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
7051
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15878
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35470
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34862
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5369
198.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5402
200.2 IPS |
|
|
Text Classification (SP)
|
35% |
73
707.8 IPS |
|
|
Text Classification (HP)
|
35% |
84
767.6 IPS |
|
|
Text Classification (Q)
|
33% |
57
642.3 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
48% |
564
21.6 IPS |
