Xiaomi 15
Geekbench AI Score
545
Single Precision Score
530
Half Precision Score
1193
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | libc |
| Upload Date | February 27 2026 07:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.9 IPS |
|
|
Image Classification (Q)
|
99% |
781
145.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
753
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
524
0.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
2134
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (Q)
|
87% |
897
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.43 IPS |
|
|
Face Detection (Q)
|
97% |
1821
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
699
5.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
700
5.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
1605
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1243
1.60 IPS |
|
|
Style Transfer (HP)
|
100% |
1238
1.59 IPS |
|
|
Style Transfer (Q)
|
98% |
3307
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1292
47.9 IPS |
|
|
Text Classification (SP)
|
100% |
466
622.6 IPS |
|
|
Text Classification (HP)
|
100% |
467
623.6 IPS |
|
|
Text Classification (Q)
|
91% |
720
967.6 IPS |
|
|
Machine Translation (SP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
57% |
581
14.2 IPS |
