QUALCOMM Kalama for arm64
Geekbench AI Score
1845
Single Precision Score
2985
Half Precision Score
2751
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 26 2026 09:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1102
204.9 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (Q)
|
99% |
1576
294.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4041
65.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3802
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7937
9.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
14385
16.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
14259
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
99% |
1619
128.4 IPS |
|
|
Object Detection (Q)
|
85% |
1553
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
4233
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7263
86.3 IPS |
|
|
Face Detection (Q)
|
97% |
6149
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4165
32.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6121
47.3 IPS |
|
|
Depth Estimation (Q)
|
65% |
5118
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10184
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23477
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22478
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2336
86.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3806
141.0 IPS |
|
|
Text Classification (SP)
|
35% |
52
505.7 IPS |
|
|
Text Classification (HP)
|
35% |
73
664.8 IPS |
|
|
Text Classification (Q)
|
35% |
70
635.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (HP)
|
97% |
1218
21.1 IPS |
|
|
Machine Translation (Q)
|
64% |
994
20.4 IPS |
