samsung SM-X910
Geekbench AI Score
1018
Single Precision Score
937
Half Precision Score
1655
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 11:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X910 |
| Model ID | samsung SM-X910 |
| 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 @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
981
182.5 IPS |
|
|
Image Classification (HP)
|
100% |
695
129.3 IPS |
|
|
Image Classification (Q)
|
100% |
1575
292.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
1744
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2107
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1816
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
2860
3.39 IPS |
|
|
Object Detection (SP)
|
98% |
668
53.1 IPS |
|
|
Object Detection (HP)
|
98% |
669
53.2 IPS |
|
|
Object Detection (Q)
|
83% |
1136
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2114
25.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1623
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1050
8.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
2096
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3553
4.61 IPS |
|
|
Style Transfer (HP)
|
89% |
3652
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6837
8.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1933
71.6 IPS |
|
|
Text Classification (SP)
|
100% |
415
554.3 IPS |
|
|
Text Classification (HP)
|
99% |
416
555.8 IPS |
|
|
Text Classification (Q)
|
88% |
708
954.4 IPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
419
14.9 IPS |
