QUALCOMM Kalama for arm64
Geekbench AI Score
832
Single Precision Score
854
Half Precision Score
1482
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 01:15 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 | 7.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (Q)
|
100% |
1033
192.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1489
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1778
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
3409
4.04 IPS |
|
|
Object Detection (SP)
|
98% |
395
31.5 IPS |
|
|
Object Detection (HP)
|
98% |
430
34.2 IPS |
|
|
Object Detection (Q)
|
83% |
1015
82.0 IPS |
|
|
Face Detection (SP)
|
100% |
1242
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
95% |
2408
28.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1488
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1217
9.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
2875
26.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3603
4.68 IPS |
|
|
Style Transfer (HP)
|
89% |
3632
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
5826
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1739
64.4 IPS |
|
|
Text Classification (SP)
|
100% |
357
476.7 IPS |
|
|
Text Classification (HP)
|
99% |
338
451.4 IPS |
|
|
Text Classification (Q)
|
88% |
506
682.4 IPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
396
14.1 IPS |
