samsung SM-S938W
Geekbench AI Score
422
Single Precision Score
26365
Half Precision Score
58121
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mystline |
| Upload Date | February 01 2025 02:55 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938W |
| Model ID | samsung SM-S938W |
| 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% |
363
67.4 IPS |
|
|
Image Classification (HP)
|
100% |
20987
3.90 KIPS |
|
|
Image Classification (Q)
|
97% |
49181
9.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
13622
220.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
40697
661.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
426
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
122389
142.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
473074
553.7 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
17961
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20544
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
567
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
38290
455.0 IPS |
|
|
Face Detection (Q)
|
97% |
124567
1.49 KIPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
80752
622.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
135024
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
904
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
98329
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
488584
630.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52442
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
127110
4.71 KIPS |
|
|
Text Classification (SP)
|
100% |
317
423.0 IPS |
|
|
Text Classification (HP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7768
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (HP)
|
100% |
4196
72.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2787
71.8 IPS |
