samsung SM-X910
Geekbench AI Score
2411
Single Precision Score
2384
Half Precision Score
3809
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 05 2025 09:32 PM |
| Views | 4 |
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% |
1914
355.9 IPS |
|
|
Image Classification (HP)
|
100% |
1932
359.3 IPS |
|
|
Image Classification (Q)
|
100% |
2964
551.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3309
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3698
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3477
4.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
7698
9.13 IPS |
|
|
Object Detection (SP)
|
98% |
1833
145.9 IPS |
|
|
Object Detection (HP)
|
98% |
1812
144.2 IPS |
|
|
Object Detection (Q)
|
83% |
2803
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (Q)
|
95% |
6340
75.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3475
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3334
25.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5961
54.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8050
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8279
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16212
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4086
151.4 IPS |
|
|
Text Classification (SP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
854
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
1444
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1652
28.5 IPS |
|
|
Machine Translation (Q)
|
50% |
841
29.9 IPS |
