QUALCOMM Kalama for arm64
Geekbench AI Score
382
Single Precision Score
391
Half Precision Score
1002
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 12:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | QUALCOMM Kalama for arm64 |
| Model ID | QUALCOMM Kalama for arm64 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.3 IPS |
|
|
Image Classification (Q)
|
99% |
716
133.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
625
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
367
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1894
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
87% |
652
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (HP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (Q)
|
97% |
1496
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
474
3.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
504
3.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
1344
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
819
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
895
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2646
3.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
265
9.79 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1107
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.5 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.0 IPS |
|
|
Text Classification (Q)
|
91% |
640
860.4 IPS |
|
|
Machine Translation (SP)
|
100% |
540
9.29 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (Q)
|
57% |
494
12.1 IPS |
