samsung SM-S938U1
Geekbench AI Score
733
Single Precision Score
27888
Half Precision Score
62902
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 04 2025 12:21 AM |
| Views | 3 |
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% |
466
86.7 IPS |
|
|
Image Classification (HP)
|
100% |
21416
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
49567
9.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
13825
224.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42315
688.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
123379
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
478851
560.5 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
19759
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
23182
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
44350
527.0 IPS |
|
|
Face Detection (Q)
|
97% |
162277
1.94 KIPS |
|
|
Depth Estimation (SP)
|
100% |
966
7.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
84434
650.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
145603
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
1463
1.88 IPS |
|
|
Style Transfer (HP)
|
98% |
99027
127.7 IPS |
|
|
Style Transfer (Q)
|
98% |
495087
638.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55073
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135107
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
661
881.9 IPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
8052
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3273
84.3 IPS |
