samsung SM-S938N
Geekbench AI Score
557
Single Precision Score
27064
Half Precision Score
60522
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dlwlrma |
| Upload Date | February 25 2025 01:13 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938N |
| Model ID | samsung SM-S938N |
| 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% |
450
83.7 IPS |
|
|
Image Classification (HP)
|
100% |
21470
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
49077
9.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
13519
219.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
42154
685.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
123426
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
477345
558.7 IPS |
|
|
Object Detection (SP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
18912
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
21864
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (HP)
|
100% |
41461
492.6 IPS |
|
|
Face Detection (Q)
|
97% |
140803
1.68 KIPS |
|
|
Depth Estimation (SP)
|
100% |
668
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
83771
645.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
144072
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1235
1.59 IPS |
|
|
Style Transfer (HP)
|
98% |
98760
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
490533
632.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52851
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
132083
4.89 KIPS |
|
|
Text Classification (SP)
|
100% |
395
526.8 IPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7850
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (Q)
|
56% |
2960
76.2 IPS |
