samsung SM-S938B
Geekbench AI Score
1676
Single Precision Score
1752
Half Precision Score
2463
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 08:59 PM |
| Views | 1 |
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% |
1577
293.3 IPS |
|
|
Image Classification (HP)
|
100% |
1804
335.6 IPS |
|
|
Image Classification (Q)
|
100% |
1928
358.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2341
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2569
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3600
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
7200
8.54 IPS |
|
|
Object Detection (SP)
|
98% |
746
59.3 IPS |
|
|
Object Detection (HP)
|
98% |
742
59.0 IPS |
|
|
Object Detection (Q)
|
83% |
1466
118.5 IPS |
|
|
Face Detection (SP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
2538
30.2 IPS |
|
|
Face Detection (Q)
|
95% |
4644
55.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2691
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2704
20.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5718
52.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5988
7.77 IPS |
|
|
Style Transfer (HP)
|
89% |
5774
7.49 IPS |
|
|
Style Transfer (Q)
|
98% |
12121
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1224
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2721
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
535
714.6 IPS |
|
|
Text Classification (HP)
|
99% |
536
715.8 IPS |
|
|
Text Classification (Q)
|
88% |
528
712.3 IPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
374
13.3 IPS |
