Xiaomi 15
Geekbench AI Score
546
Single Precision Score
26073
Half Precision Score
64512
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | libc |
| Upload Date | February 27 2026 07:40 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 15 |
| Model ID | Xiaomi 24129PN74C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| 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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
359
66.7 IPS |
|
|
Image Classification (HP)
|
100% |
18747
3.49 KIPS |
|
|
Image Classification (Q)
|
96% |
46039
8.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
12642
204.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
47558
773.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
560
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
111796
130.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
435121
509.3 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
17967
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
27122
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (HP)
|
100% |
37355
443.9 IPS |
|
|
Face Detection (Q)
|
97% |
131353
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
709
5.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
76033
585.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
160755
1.49 KIPS |
|
|
Style Transfer (SP)
|
100% |
1249
1.61 IPS |
|
|
Style Transfer (HP)
|
100% |
85725
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
448133
577.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51753
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
129697
4.81 KIPS |
|
|
Text Classification (SP)
|
100% |
459
613.2 IPS |
|
|
Text Classification (HP)
|
100% |
4106
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
10856
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5896
101.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3627
93.4 IPS |
