samsung SM-S921Q
Geekbench AI Score
1065
Single Precision Score
1581
Half Precision Score
1517
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Masatako123 |
| Upload Date | December 23 2024 12:00 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S921Q |
| Model ID | samsung SM-S921Q |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (Q)
|
96% |
559
104.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1060
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2740
3.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
2730
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
87% |
729
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (Q)
|
97% |
2404
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1903
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3935
30.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3280
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7344
9.44 IPS |
|
|
Style Transfer (HP)
|
100% |
11864
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11782
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1364
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
448
598.3 IPS |
|
|
Text Classification (HP)
|
100% |
448
598.1 IPS |
|
|
Text Classification (Q)
|
91% |
735
988.1 IPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
590
14.4 IPS |
