samsung SM-X920
Geekbench AI Score
1058
Single Precision Score
1232
Half Precision Score
1296
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | t0m3k |
| Upload Date | December 29 2024 12:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X920 |
| Model ID | samsung SM-X920 |
| Motherboard | gts10uwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
675
125.5 IPS |
|
|
Image Classification (HP)
|
100% |
696
129.4 IPS |
|
|
Image Classification (Q)
|
99% |
659
122.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1744
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1213
1.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
1198
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (Q)
|
83% |
888
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
2360
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1643
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2206
17.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1782
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4272
5.49 IPS |
|
|
Style Transfer (HP)
|
100% |
5461
7.02 IPS |
|
|
Style Transfer (Q)
|
98% |
5674
7.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1107
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
302
402.5 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.4 IPS |
|
|
Text Classification (Q)
|
91% |
785
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
530
12.9 IPS |
