samsung SM-S938B
Geekbench AI Score
1206
Single Precision Score
1962
Half Precision Score
1916
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
688
127.9 IPS |
|
|
Image Classification (HP)
|
100% |
933
173.6 IPS |
|
|
Image Classification (Q)
|
99% |
669
124.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2083
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1598
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
2417
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
1168
92.6 IPS |
|
|
Object Detection (Q)
|
86% |
1080
86.8 IPS |
|
|
Face Detection (SP)
|
100% |
2832
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (Q)
|
97% |
4293
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1477
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3954
30.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3224
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4964
6.38 IPS |
|
|
Style Transfer (HP)
|
100% |
10637
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10555
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
570
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1859
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
657
877.1 IPS |
|
|
Text Classification (HP)
|
100% |
657
877.4 IPS |
|
|
Text Classification (Q)
|
91% |
1058
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
57% |
635
15.5 IPS |
