samsung SM-X930
Geekbench AI Score
2100
Single Precision Score
2092
Half Precision Score
2844
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 02:08 AM |
| Views | 3 |
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% |
1612
299.8 IPS |
|
|
Image Classification (HP)
|
100% |
1525
283.6 IPS |
|
|
Image Classification (Q)
|
100% |
2083
387.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2291
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2840
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3027
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
5754
6.82 IPS |
|
|
Object Detection (SP)
|
98% |
1387
110.4 IPS |
|
|
Object Detection (HP)
|
98% |
1378
109.7 IPS |
|
|
Object Detection (Q)
|
83% |
1763
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (Q)
|
95% |
4404
52.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3146
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3482
26.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4679
42.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7841
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7231
9.39 IPS |
|
|
Style Transfer (Q)
|
98% |
12143
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1788
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3328
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.2 IPS |
|
|
Text Classification (HP)
|
99% |
705
941.6 IPS |
|
|
Text Classification (Q)
|
88% |
1183
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
726
25.8 IPS |
