QUALCOMM Lahaina for arm64
Geekbench AI Score
323
Single Precision Score
324
Half Precision Score
702
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 27 2025 10:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | QUALCOMM Lahaina for arm64 |
| Model ID | QUALCOMM Lahaina for arm64 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
100% |
501
93.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
525
8.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
660
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
651
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1159
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
503
40.6 IPS |
|
|
Face Detection (SP)
|
100% |
356
4.24 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
95% |
910
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
478
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
488
3.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1043
9.55 IPS |
|
|
Style Transfer (SP)
|
89% |
1183
1.54 IPS |
|
|
Style Transfer (HP)
|
89% |
1180
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2509
3.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
668
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
206
274.5 IPS |
|
|
Text Classification (HP)
|
100% |
185
247.6 IPS |
|
|
Text Classification (Q)
|
88% |
447
602.2 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.97 IPS |
|
|
Machine Translation (Q)
|
50% |
270
9.60 IPS |
