samsung SM-S938B
Geekbench AI Score
2212
Single Precision Score
2198
Half Precision Score
2864
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | wolfcam |
| Upload Date | February 24 2025 02:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938B |
| Model ID | samsung SM-S938B |
| 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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (Q)
|
100% |
4538
843.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1307
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5517
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4866
5.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
9820
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1219
97.0 IPS |
|
|
Object Detection (HP)
|
98% |
1074
85.4 IPS |
|
|
Object Detection (Q)
|
83% |
1229
99.3 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3101
36.9 IPS |
|
|
Face Detection (Q)
|
95% |
6520
77.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3407
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4026
31.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7488
68.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8411
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8312
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17504
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2837
105.1 IPS |
|
|
Text Classification (SP)
|
100% |
628
837.8 IPS |
|
|
Text Classification (HP)
|
99% |
610
813.6 IPS |
|
|
Text Classification (Q)
|
88% |
594
801.2 IPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
361
12.8 IPS |
