samsung SM-X930
Geekbench AI Score
1959
Single Precision Score
1928
Half Precision Score
2780
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:48 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (Q)
|
100% |
2070
384.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2331
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2837
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2837
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
5431
6.44 IPS |
|
|
Object Detection (SP)
|
98% |
1286
102.4 IPS |
|
|
Object Detection (HP)
|
98% |
1250
99.5 IPS |
|
|
Object Detection (Q)
|
83% |
1986
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
2824
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (Q)
|
95% |
4176
49.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2641
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4563
41.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6707
8.71 IPS |
|
|
Style Transfer (HP)
|
89% |
6623
8.60 IPS |
|
|
Style Transfer (Q)
|
98% |
12246
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2907
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
681
908.4 IPS |
|
|
Text Classification (HP)
|
99% |
696
928.5 IPS |
|
|
Text Classification (Q)
|
88% |
1220
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1611
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (Q)
|
50% |
641
22.8 IPS |
