samsung SM-X930
Geekbench AI Score
1372
Single Precision Score
1773
Half Precision Score
1517
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 03:13 PM |
| Views | 1 |
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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
562
104.5 IPS |
|
|
Image Classification (HP)
|
100% |
788
146.5 IPS |
|
|
Image Classification (Q)
|
97% |
705
131.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2598
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9261
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15648
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15754
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
99% |
805
63.9 IPS |
|
|
Object Detection (Q)
|
83% |
849
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
4334
51.5 IPS |
|
|
Face Detection (Q)
|
96% |
4114
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4371
33.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5692
44.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4419
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13683
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25025
32.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25008
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2334
86.5 IPS |
|
|
Text Classification (SP)
|
35% |
23
209.8 IPS |
|
|
Text Classification (HP)
|
29% |
15
252.6 IPS |
|
|
Text Classification (Q)
|
32% |
19
248.4 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
43% |
131
7.64 IPS |
