samsung SM-G990B2
Geekbench AI Score
326
Single Precision Score
369
Half Precision Score
50
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 24 2024 06:16 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM SM8350 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-G990B2 |
| Model ID | samsung SM-G990B2 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.8 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.22 IPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
1986
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
7017
8.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
245
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (HP)
|
99% |
893
70.8 IPS |
|
|
Object Detection (Q)
|
2% |
8
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
77
0.91 IPS |
|
|
Face Detection (Q)
|
97% |
217
2.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
172
1.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
73
0.56 IPS |
|
|
Depth Estimation (Q)
|
5% |
42
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
678
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
131
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
983
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3063
113.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.52 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.32 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.5 IPS |
|
|
Text Classification (Q)
|
93% |
26
35.0 IPS |
|
|
Machine Translation (SP)
|
100% |
82
1.42 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.82 IPS |
