samsung SM-S938U1
Geekbench AI Score
741
Single Precision Score
27846
Half Precision Score
62783
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 09:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U1 |
| Model ID | samsung SM-S938U1 |
| 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% |
467
86.8 IPS |
|
|
Image Classification (HP)
|
100% |
21694
4.03 KIPS |
|
|
Image Classification (Q)
|
97% |
49506
9.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
13708
222.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
42352
688.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
772
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
123683
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
479613
561.4 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
19386
1.54 KIPS |
|
|
Object Detection (Q)
|
85% |
22537
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
44559
529.5 IPS |
|
|
Face Detection (Q)
|
97% |
163119
1.95 KIPS |
|
|
Depth Estimation (SP)
|
100% |
970
7.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
84617
651.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
146503
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1576
2.03 IPS |
|
|
Style Transfer (HP)
|
98% |
98938
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
494632
637.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54887
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135019
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
659
880.0 IPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8038
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3273
84.3 IPS |
