samsung SM-X930
Geekbench AI Score
1957
Single Precision Score
1962
Half Precision Score
2812
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:56 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% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
1400
260.3 IPS |
|
|
Image Classification (Q)
|
100% |
1880
349.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2294
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2735
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
5553
6.59 IPS |
|
|
Object Detection (SP)
|
98% |
1333
106.0 IPS |
|
|
Object Detection (HP)
|
98% |
1289
102.6 IPS |
|
|
Object Detection (Q)
|
83% |
2032
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (Q)
|
95% |
4307
51.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3163
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3053
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4488
41.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6619
8.59 IPS |
|
|
Style Transfer (HP)
|
89% |
6871
8.92 IPS |
|
|
Style Transfer (Q)
|
98% |
12948
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3059
113.3 IPS |
|
|
Text Classification (SP)
|
100% |
642
856.4 IPS |
|
|
Text Classification (HP)
|
99% |
667
890.0 IPS |
|
|
Text Classification (Q)
|
88% |
1143
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (Q)
|
50% |
728
25.8 IPS |
