samsung SM-S938B
Geekbench AI Score
550
Single Precision Score
26729
Half Precision Score
59544
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mohanadsinan |
| Upload Date | February 06 2025 11:02 PM |
| Views | 2 |
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% |
460
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
21366
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
48324
9.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
13606
220.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
42203
686.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
645
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
123380
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
477819
559.3 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
17958
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20651
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
568
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
38402
456.3 IPS |
|
|
Face Detection (Q)
|
97% |
124213
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
727
5.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
83311
641.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
142742
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1306
1.68 IPS |
|
|
Style Transfer (HP)
|
98% |
98696
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
490546
632.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53039
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133962
4.96 KIPS |
|
|
Text Classification (SP)
|
100% |
429
572.4 IPS |
|
|
Text Classification (HP)
|
100% |
3879
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
7921
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4450
76.7 IPS |
|
|
Machine Translation (Q)
|
56% |
3017
77.7 IPS |
