samsung SM-S938B
Geekbench AI Score
746
Single Precision Score
27717
Half Precision Score
63188
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 03 2025 02:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
21402
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
50128
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
13596
220.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
42240
686.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
766
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
123675
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
480987
563.0 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
19767
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
23315
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
43959
522.3 IPS |
|
|
Face Detection (Q)
|
97% |
162752
1.94 KIPS |
|
|
Depth Estimation (SP)
|
100% |
941
7.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
84639
652.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
146973
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1585
2.04 IPS |
|
|
Style Transfer (HP)
|
98% |
98903
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
495374
638.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54011
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135110
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
676
902.5 IPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8204
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4829
83.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3254
83.8 IPS |
