samsung SM-S938B
Geekbench AI Score
572
Single Precision Score
27201
Half Precision Score
61054
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | xDJoelDx |
| Upload Date | February 27 2025 05:46 PM |
| Views | 4 |
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% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
21279
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49334
9.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
13742
222.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
42230
686.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
120626
140.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
479050
560.7 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
19236
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
22395
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
760
9.03 IPS |
|
|
Face Detection (HP)
|
100% |
41730
495.8 IPS |
|
|
Face Detection (Q)
|
97% |
141355
1.69 KIPS |
|
|
Depth Estimation (SP)
|
100% |
718
5.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
84513
651.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
145579
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
1483
1.91 IPS |
|
|
Style Transfer (HP)
|
98% |
98914
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
491865
634.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52255
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
128571
4.76 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.9 IPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
7997
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (Q)
|
56% |
3094
79.7 IPS |
