QUALCOMM Lahaina for arm64
Geekbench AI Score
208
Single Precision Score
208
Half Precision Score
505
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 09:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | QUALCOMM Lahaina for arm64 |
| Model ID | QUALCOMM Lahaina for arm64 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 7.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
332
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
368
5.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
860
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.73 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.73 IPS |
|
|
Object Detection (Q)
|
87% |
357
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
97% |
718
8.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
272
2.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
688
6.24 IPS |
|
|
Style Transfer (SP)
|
100% |
468
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
465
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
1327
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
479
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.3 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.5 IPS |
|
|
Text Classification (Q)
|
91% |
339
455.4 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
57% |
272
6.65 IPS |
