QUALCOMM Kalama for arm64
Geekbench AI Score
2024
Single Precision Score
2038
Half Precision Score
3142
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 17 2025 08:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1611
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.5 IPS |
|
|
Image Classification (Q)
|
100% |
2786
518.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2970
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2423
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2154
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
5696
6.76 IPS |
|
|
Object Detection (SP)
|
98% |
1605
127.8 IPS |
|
|
Object Detection (HP)
|
98% |
1747
139.0 IPS |
|
|
Object Detection (Q)
|
83% |
2655
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
5371
64.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3105
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3097
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6036
55.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7304
9.48 IPS |
|
|
Style Transfer (HP)
|
89% |
6991
9.08 IPS |
|
|
Style Transfer (Q)
|
98% |
14805
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3285
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
734
979.7 IPS |
|
|
Text Classification (HP)
|
99% |
687
917.3 IPS |
|
|
Text Classification (Q)
|
88% |
1073
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.7 IPS |
