samsung SM-X930
Geekbench AI Score
2339
Single Precision Score
2140
Half Precision Score
3344
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | mohanadsinan |
| Upload Date | October 09 2025 10:13 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1552
288.7 IPS |
|
|
Image Classification (HP)
|
100% |
1596
296.9 IPS |
|
|
Image Classification (Q)
|
100% |
2611
485.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2817
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3536
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3277
3.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
7162
8.49 IPS |
|
|
Object Detection (SP)
|
98% |
1542
122.7 IPS |
|
|
Object Detection (HP)
|
98% |
1356
107.9 IPS |
|
|
Object Detection (Q)
|
83% |
2358
190.5 IPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
5355
63.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3835
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3688
28.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4928
45.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8633
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7312
9.49 IPS |
|
|
Style Transfer (Q)
|
98% |
15843
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3101
114.9 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1299
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1717
29.6 IPS |
|
|
Machine Translation (Q)
|
50% |
838
29.7 IPS |
