samsung SM-X930
Geekbench AI Score
1386
Single Precision Score
1820
Half Precision Score
1534
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 06:32 AM |
| Views | 2 |
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% |
594
110.5 IPS |
|
|
Image Classification (HP)
|
100% |
779
144.9 IPS |
|
|
Image Classification (Q)
|
97% |
707
132.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2680
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10293
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16735
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16417
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
99% |
799
63.4 IPS |
|
|
Object Detection (Q)
|
83% |
895
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
4486
53.3 IPS |
|
|
Face Detection (Q)
|
96% |
3961
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3824
29.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5542
42.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4540
43.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14127
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25446
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26422
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1776
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2398
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2249
83.4 IPS |
|
|
Text Classification (SP)
|
35% |
24
216.0 IPS |
|
|
Text Classification (HP)
|
29% |
15
265.2 IPS |
|
|
Text Classification (Q)
|
32% |
18
236.7 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
43% |
135
7.87 IPS |
