samsung SM-X920
Geekbench ML Score
1383
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 08 2025 09:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X920 |
| Model ID | samsung SM-X920 |
| Motherboard | gts10uwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 15.16 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
875
163.8 IPS |
|
|
Image Classification (F16)
|
100% |
845
158.0 IPS |
|
|
Image Classification (I8)
|
97% |
1269
237.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1107
18.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1088
18.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1402
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1412
1.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
1302
1.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
6102
7.39 IPS |
|
|
Object Detection (F32)
|
100% |
712
53.1 IPS |
|
|
Object Detection (F16)
|
100% |
732
54.6 IPS |
|
|
Object Detection (I8)
|
61% |
1288
96.2 IPS |
|
|
Face Detection (F32)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1709
20.3 IPS |
|
|
Face Detection (I8)
|
86% |
2506
29.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1526
11.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1521
11.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2219
17.2 IPS |
|
|
Style Transfer (F32)
|
100% |
2129
2.80 IPS |
|
|
Style Transfer (F16)
|
100% |
2242
2.95 IPS |
|
|
Style Transfer (I8)
|
98% |
5003
6.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
950
33.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
972
34.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2619
93.5 IPS |
|
|
Text Classification (F32)
|
100% |
839
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
833
1.20 KIPS |
|
|
Text Classification (I8)
|
92% |
560
804.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1613
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1520
28.0 IPS |
|
|
Machine Translation (I8)
|
64% |
673
12.4 IPS |
