QUALCOMM Kalama for arm64
Geekbench AI Score
456
Single Precision Score
461
Half Precision Score
1023
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 26 2026 09:45 AM |
| Views | 6 |
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% |
271
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (Q)
|
99% |
670
125.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1954
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
87% |
744
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
662
7.87 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.94 IPS |
|
|
Face Detection (Q)
|
97% |
1414
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
593
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
598
4.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
1411
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
976
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
981
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
2713
3.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1097
40.6 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.0 IPS |
|
|
Text Classification (HP)
|
100% |
424
565.6 IPS |
|
|
Text Classification (Q)
|
91% |
633
850.7 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
488
11.9 IPS |
