samsung SM-X930
Geekbench AI Score
1397
Single Precision Score
1850
Half Precision Score
1582
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 05:36 AM |
| Views | 4 |
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% |
576
107.2 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.8 IPS |
|
|
Image Classification (Q)
|
97% |
717
133.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2770
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10050
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16867
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16608
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (HP)
|
99% |
923
73.2 IPS |
|
|
Object Detection (Q)
|
83% |
918
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (Q)
|
96% |
3837
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3870
29.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5740
44.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4598
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14261
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26038
33.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26650
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2380
87.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2431
90.1 IPS |
|
|
Text Classification (SP)
|
35% |
23
213.5 IPS |
|
|
Text Classification (HP)
|
29% |
15
260.0 IPS |
|
|
Text Classification (Q)
|
32% |
20
257.2 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (Q)
|
43% |
142
8.28 IPS |
