samsung SM-X930
Geekbench AI Score
1376
Single Precision Score
1865
Half Precision Score
1587
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 05:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
590
109.7 IPS |
|
|
Image Classification (HP)
|
100% |
882
164.0 IPS |
|
|
Image Classification (Q)
|
97% |
1042
194.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2855
46.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2772
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16823
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16383
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (HP)
|
99% |
913
72.4 IPS |
|
|
Object Detection (Q)
|
83% |
768
62.0 IPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
4373
52.0 IPS |
|
|
Face Detection (Q)
|
96% |
4112
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3750
28.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5836
45.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4521
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14072
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26141
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25743
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2411
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2258
83.7 IPS |
|
|
Text Classification (SP)
|
35% |
23
211.9 IPS |
|
|
Text Classification (HP)
|
29% |
15
262.3 IPS |
|
|
Text Classification (Q)
|
32% |
19
243.1 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (Q)
|
43% |
136
7.89 IPS |
