samsung SM-S938B
Geekbench AI Score
596
Single Precision Score
27182
Half Precision Score
61127
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 10:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
21312
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49097
9.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
13261
215.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
42280
687.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
123367
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
476553
557.8 IPS |
|
|
Object Detection (SP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
19146
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
21918
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
41176
489.3 IPS |
|
|
Face Detection (Q)
|
97% |
141108
1.68 KIPS |
|
|
Depth Estimation (SP)
|
100% |
818
6.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
84107
648.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
145156
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1475
1.90 IPS |
|
|
Style Transfer (HP)
|
98% |
98787
127.4 IPS |
|
|
Style Transfer (Q)
|
98% |
490675
632.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52884
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134076
4.97 KIPS |
|
|
Text Classification (SP)
|
100% |
460
613.5 IPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7900
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4692
80.8 IPS |
|
|
Machine Translation (Q)
|
56% |
3156
81.3 IPS |
