samsung SM-X930
Geekbench ML Score
1870
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| User | Billfumo |
| Upload Date | September 08 2025 08:59 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X930 |
| Model ID | samsung SM-X930 |
| Motherboard | gts11uwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1111
207.9 IPS |
|
|
Image Classification (F16)
|
100% |
1100
205.8 IPS |
|
|
Image Classification (I8)
|
97% |
1580
295.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1527
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1519
25.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1660
27.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1642
1.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
1597
1.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
7764
9.40 IPS |
|
|
Object Detection (F32)
|
100% |
1026
76.6 IPS |
|
|
Object Detection (F16)
|
100% |
1058
79.0 IPS |
|
|
Object Detection (I8)
|
61% |
1594
119.0 IPS |
|
|
Face Detection (F32)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (F16)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (I8)
|
86% |
4293
51.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1998
15.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1969
15.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3731
28.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2776
3.65 IPS |
|
|
Style Transfer (F16)
|
100% |
2682
3.53 IPS |
|
|
Style Transfer (I8)
|
98% |
6849
9.01 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1288
46.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1286
45.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3738
133.5 IPS |
|
|
Text Classification (F32)
|
100% |
1161
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1113
1.60 KIPS |
|
|
Text Classification (I8)
|
92% |
994
1.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
1985
36.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1829
33.7 IPS |
|
|
Machine Translation (I8)
|
64% |
1028
18.9 IPS |
