samsung SM-X930
Geekbench AI Score
1934
Single Precision Score
1857
Half Precision Score
2727
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 02:00 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% |
1587
295.2 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (Q)
|
100% |
1946
361.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2294
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2820
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2508
2.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
5225
6.20 IPS |
|
|
Object Detection (SP)
|
98% |
1338
106.5 IPS |
|
|
Object Detection (HP)
|
98% |
1167
92.9 IPS |
|
|
Object Detection (Q)
|
83% |
1942
156.9 IPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2857
34.0 IPS |
|
|
Face Detection (Q)
|
95% |
4089
48.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2925
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3029
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4381
40.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6136
7.96 IPS |
|
|
Style Transfer (HP)
|
89% |
6089
7.90 IPS |
|
|
Style Transfer (Q)
|
98% |
12277
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1426
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1376
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2812
104.2 IPS |
|
|
Text Classification (SP)
|
100% |
653
871.1 IPS |
|
|
Text Classification (HP)
|
99% |
683
911.1 IPS |
|
|
Text Classification (Q)
|
88% |
1248
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
652
23.2 IPS |
