samsung SM-X930
Geekbench AI Score
2013
Single Precision Score
1952
Half Precision Score
2888
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:47 AM |
| Views | 2 |
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% |
1555
289.2 IPS |
|
|
Image Classification (HP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (Q)
|
100% |
2067
384.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2269
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2882
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2707
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
5716
6.78 IPS |
|
|
Object Detection (SP)
|
98% |
1302
103.6 IPS |
|
|
Object Detection (HP)
|
98% |
1436
114.2 IPS |
|
|
Object Detection (Q)
|
83% |
1767
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
2605
31.0 IPS |
|
|
Face Detection (Q)
|
95% |
4926
58.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3213
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3352
25.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5209
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6791
8.82 IPS |
|
|
Style Transfer (HP)
|
89% |
6726
8.73 IPS |
|
|
Style Transfer (Q)
|
98% |
12434
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1490
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3355
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.1 IPS |
|
|
Text Classification (HP)
|
99% |
661
882.6 IPS |
|
|
Text Classification (Q)
|
88% |
1138
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1605
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
701
24.9 IPS |
