samsung SM-S938U
Geekbench AI Score
2898
Single Precision Score
2865
Half Precision Score
5145
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sam09966 |
| Upload Date | May 04 2025 06:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U |
| Model ID | samsung SM-S938U |
| 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% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (Q)
|
100% |
4563
848.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5133
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5594
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5336
6.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
13428
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1762
140.3 IPS |
|
|
Object Detection (HP)
|
98% |
1761
140.2 IPS |
|
|
Object Detection (Q)
|
83% |
4000
323.1 IPS |
|
|
Face Detection (SP)
|
100% |
4488
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
4487
53.3 IPS |
|
|
Face Detection (Q)
|
95% |
9664
115.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4709
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4596
35.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
10359
94.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11599
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11365
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25107
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6768
250.8 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
999
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1051
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
578
20.5 IPS |
