samsung SM-S938B
Geekbench AI Score
511
Single Precision Score
26863
Half Precision Score
60150
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 01 2025 04:07 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938B |
| Model ID | samsung SM-S938B |
| 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% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
20593
3.83 KIPS |
|
|
Image Classification (Q)
|
97% |
49067
9.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
13654
221.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
41851
680.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
676
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
120388
140.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
477310
558.7 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (HP)
|
100% |
19190
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
22292
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (HP)
|
100% |
41082
488.1 IPS |
|
|
Face Detection (Q)
|
97% |
140538
1.68 KIPS |
|
|
Depth Estimation (SP)
|
100% |
599
4.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
83414
642.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
142151
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1233
1.58 IPS |
|
|
Style Transfer (HP)
|
98% |
98684
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
491187
633.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51604
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125225
4.64 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.9 IPS |
|
|
Text Classification (HP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7841
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4441
76.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2945
75.9 IPS |
