samsung SM-S938B
Geekbench AI Score
620
Single Precision Score
27182
Half Precision Score
60691
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 01:29 AM |
| Views | 1 |
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% |
462
86.0 IPS |
|
|
Image Classification (HP)
|
100% |
21431
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
49419
9.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
13683
221.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
42430
689.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
736
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
123668
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
479084
560.7 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
18581
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
21521
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
699
8.30 IPS |
|
|
Face Detection (HP)
|
100% |
39601
470.5 IPS |
|
|
Face Detection (Q)
|
97% |
131006
1.56 KIPS |
|
|
Depth Estimation (SP)
|
100% |
781
6.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
84818
653.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
147186
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1611
2.07 IPS |
|
|
Style Transfer (HP)
|
98% |
98922
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
492371
634.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
402
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52450
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
130021
4.82 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.7 IPS |
|
|
Text Classification (HP)
|
100% |
3877
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7845
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4838
83.3 IPS |
|
|
Machine Translation (Q)
|
56% |
3239
83.4 IPS |
