samsung SM-X930
Geekbench AI Score
1994
Single Precision Score
1942
Half Precision Score
2917
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:09 AM |
| Views | 7 |
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
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
1335
248.4 IPS |
|
|
Image Classification (Q)
|
100% |
1966
365.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2261
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2973
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2837
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
5783
6.86 IPS |
|
|
Object Detection (SP)
|
98% |
1396
111.1 IPS |
|
|
Object Detection (HP)
|
98% |
1248
99.3 IPS |
|
|
Object Detection (Q)
|
83% |
1954
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
4987
59.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2815
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3032
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4962
45.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6667
8.66 IPS |
|
|
Style Transfer (HP)
|
89% |
6660
8.65 IPS |
|
|
Style Transfer (Q)
|
98% |
13115
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3163
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
629
839.9 IPS |
|
|
Text Classification (HP)
|
99% |
660
880.7 IPS |
|
|
Text Classification (Q)
|
88% |
1207
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1553
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
717
25.4 IPS |
