samsung SM-X910
Geekbench AI Score
953
Single Precision Score
894
Half Precision Score
1709
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 28 2025 09:33 PM |
| 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% |
1001
186.1 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.2 IPS |
|
|
Image Classification (Q)
|
100% |
1564
290.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
700
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1676
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1840
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1984
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
3613
4.28 IPS |
|
|
Object Detection (SP)
|
98% |
387
30.8 IPS |
|
|
Object Detection (HP)
|
98% |
683
54.4 IPS |
|
|
Object Detection (Q)
|
83% |
1183
95.6 IPS |
|
|
Face Detection (SP)
|
100% |
1196
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
95% |
2729
32.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1084
8.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
1240
9.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
2276
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3556
4.62 IPS |
|
|
Style Transfer (HP)
|
89% |
3600
4.67 IPS |
|
|
Style Transfer (Q)
|
98% |
6525
8.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1540
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
454
605.4 IPS |
|
|
Text Classification (HP)
|
99% |
327
435.8 IPS |
|
|
Text Classification (Q)
|
88% |
708
954.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
431
15.3 IPS |
