samsung SM-X910
Geekbench AI Score
1111
Single Precision Score
1020
Half Precision Score
1937
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 05 2025 09:08 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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
741
137.8 IPS |
|
|
Image Classification (HP)
|
100% |
730
135.8 IPS |
|
|
Image Classification (Q)
|
100% |
2254
419.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1918
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3285
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1972
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3625
4.30 IPS |
|
|
Object Detection (SP)
|
98% |
751
59.8 IPS |
|
|
Object Detection (HP)
|
98% |
424
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
1962
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (Q)
|
95% |
2882
34.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1961
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1695
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2389
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4608
5.98 IPS |
|
|
Style Transfer (HP)
|
89% |
3708
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6928
8.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
651
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2021
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.0 IPS |
|
|
Text Classification (HP)
|
99% |
414
553.1 IPS |
|
|
Text Classification (Q)
|
88% |
532
717.4 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
473
16.8 IPS |
