samsung SM-S938U1
Geekbench AI Score
415
Single Precision Score
26189
Half Precision Score
58111
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 07:10 PM |
| Views | 14 |
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% |
448
83.3 IPS |
|
|
Image Classification (HP)
|
100% |
21349
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49378
9.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
13596
220.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
40870
664.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
397
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
122464
142.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
472640
553.2 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
18009
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
20454
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (HP)
|
100% |
38192
453.8 IPS |
|
|
Face Detection (Q)
|
97% |
124167
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
81201
625.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
135877
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
914
1.17 IPS |
|
|
Style Transfer (HP)
|
98% |
98221
126.7 IPS |
|
|
Style Transfer (Q)
|
98% |
486091
626.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
215
7.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51289
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125607
4.65 KIPS |
|
|
Text Classification (SP)
|
100% |
272
362.4 IPS |
|
|
Text Classification (HP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
7749
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (Q)
|
56% |
2820
72.6 IPS |
