samsung SM-S9380
Geekbench AI Score
2541
Single Precision Score
2460
Half Precision Score
4318
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | raylee930 |
| Upload Date | February 13 2025 05:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S9380 |
| Model ID | samsung SM-S9380 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
2048
380.8 IPS |
|
|
Image Classification (Q)
|
100% |
4500
836.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5380
87.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5469
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5295
6.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
12839
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1298
103.3 IPS |
|
|
Object Detection (HP)
|
98% |
1034
82.3 IPS |
|
|
Object Detection (Q)
|
83% |
2588
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3596
42.7 IPS |
|
|
Face Detection (Q)
|
95% |
7589
90.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4285
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4396
34.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10629
97.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11526
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11442
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23113
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4574
169.5 IPS |
|
|
Text Classification (SP)
|
100% |
735
981.5 IPS |
|
|
Text Classification (HP)
|
99% |
661
882.4 IPS |
|
|
Text Classification (Q)
|
88% |
590
795.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
558
19.8 IPS |
