samsung SM-X920
Geekbench AI Score
2314
Single Precision Score
2284
Half Precision Score
3273
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 11:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1855
345.0 IPS |
|
|
Image Classification (HP)
|
100% |
1743
324.2 IPS |
|
|
Image Classification (Q)
|
100% |
2644
491.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2802
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3403
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3240
3.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
6243
7.40 IPS |
|
|
Object Detection (SP)
|
98% |
1551
123.4 IPS |
|
|
Object Detection (HP)
|
98% |
1629
129.7 IPS |
|
|
Object Detection (Q)
|
83% |
2388
192.9 IPS |
|
|
Face Detection (SP)
|
100% |
3396
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3471
41.2 IPS |
|
|
Face Detection (Q)
|
95% |
5434
64.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3641
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3677
28.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5294
48.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7667
9.95 IPS |
|
|
Style Transfer (HP)
|
89% |
7376
9.57 IPS |
|
|
Style Transfer (Q)
|
98% |
13544
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3427
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.7 IPS |
|
|
Text Classification (HP)
|
99% |
744
993.1 IPS |
|
|
Text Classification (Q)
|
88% |
1299
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1942
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (Q)
|
50% |
737
26.2 IPS |
