QUALCOMM Kalama for arm64
Geekbench AI Score
1908
Single Precision Score
1959
Half Precision Score
2919
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 17 2025 08:24 AM |
| Views | 2 |
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% |
991
184.2 IPS |
|
|
Image Classification (HP)
|
100% |
1170
217.6 IPS |
|
|
Image Classification (Q)
|
100% |
1170
217.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3111
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2140
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3040
3.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
6887
8.17 IPS |
|
|
Object Detection (SP)
|
98% |
1690
134.5 IPS |
|
|
Object Detection (HP)
|
98% |
1563
124.4 IPS |
|
|
Object Detection (Q)
|
83% |
2595
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
5813
69.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2985
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2972
23.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5622
51.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6838
8.88 IPS |
|
|
Style Transfer (HP)
|
89% |
7877
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14134
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1526
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4001
148.3 IPS |
|
|
Text Classification (SP)
|
100% |
736
981.9 IPS |
|
|
Text Classification (HP)
|
99% |
613
818.6 IPS |
|
|
Text Classification (Q)
|
88% |
578
779.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
50% |
648
23.0 IPS |
