samsung SM-X910
Geekbench ML Score
1079
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 28 2025 04:09 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.92 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
554
103.7 IPS |
|
|
Image Classification (F16)
|
100% |
548
102.6 IPS |
|
|
Image Classification (I8)
|
97% |
899
168.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
693
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
677
11.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
835
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1274
1.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
1257
1.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
5240
6.35 IPS |
|
|
Object Detection (F32)
|
100% |
568
42.4 IPS |
|
|
Object Detection (F16)
|
100% |
566
42.3 IPS |
|
|
Object Detection (I8)
|
61% |
1178
87.9 IPS |
|
|
Face Detection (F32)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (F16)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (I8)
|
86% |
1915
22.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1243
9.64 IPS |
|
|
Depth Estimation (F16)
|
100% |
1239
9.61 IPS |
|
|
Depth Estimation (I8)
|
95% |
2340
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2258
2.97 IPS |
|
|
Style Transfer (F16)
|
100% |
2261
2.97 IPS |
|
|
Style Transfer (I8)
|
98% |
4421
5.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
822
29.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
822
29.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2229
79.6 IPS |
|
|
Text Classification (F32)
|
100% |
629
903.7 IPS |
|
|
Text Classification (F16)
|
100% |
602
865.4 IPS |
|
|
Text Classification (I8)
|
92% |
397
569.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1238
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1221
22.5 IPS |
|
|
Machine Translation (I8)
|
64% |
426
7.85 IPS |
