samsung SM-S938U1
Geekbench AI Score
745
Single Precision Score
27899
Half Precision Score
62881
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 01 2025 01:10 AM |
| Views | 4 |
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% |
470
87.4 IPS |
|
|
Image Classification (HP)
|
100% |
21362
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49458
9.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
599
9.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
13664
221.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
42468
690.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
769
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
124264
145.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
481217
563.2 IPS |
|
|
Object Detection (SP)
|
100% |
446
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
19972
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
22947
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
44515
528.9 IPS |
|
|
Face Detection (Q)
|
97% |
162648
1.94 KIPS |
|
|
Depth Estimation (SP)
|
100% |
938
7.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
84786
653.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
146413
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1633
2.10 IPS |
|
|
Style Transfer (HP)
|
98% |
99154
127.9 IPS |
|
|
Style Transfer (Q)
|
98% |
496726
640.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55028
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135083
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
569
760.0 IPS |
|
|
Text Classification (HP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
8040
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4861
83.7 IPS |
|
|
Machine Translation (Q)
|
56% |
3244
83.6 IPS |
