QUALCOMM Kalama for arm64
Geekbench AI Score
1103
Single Precision Score
1130
Half Precision Score
1887
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 26 2026 09:33 AM |
| Views | 1 |
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% |
1113
207.0 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.6 IPS |
|
|
Image Classification (Q)
|
100% |
1376
256.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1073
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1973
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1889
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
4275
5.07 IPS |
|
|
Object Detection (SP)
|
98% |
648
51.6 IPS |
|
|
Object Detection (HP)
|
98% |
516
41.1 IPS |
|
|
Object Detection (Q)
|
83% |
2075
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
2929
35.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1350
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1972
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5378
49.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4571
5.93 IPS |
|
|
Style Transfer (HP)
|
89% |
4130
5.36 IPS |
|
|
Style Transfer (Q)
|
98% |
7244
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1652
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.6 IPS |
|
|
Text Classification (HP)
|
99% |
560
747.7 IPS |
|
|
Text Classification (Q)
|
88% |
475
640.1 IPS |
|
|
Machine Translation (SP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
489
17.4 IPS |
