samsung SM-G990B2
Geekbench AI Score
361
Single Precision Score
371
Half Precision Score
359
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | January 20 2025 07:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 5.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
97% |
213
39.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
236
3.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
390
0.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
362
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
89% |
227
18.2 IPS |
|
|
Face Detection (SP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1334
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1178
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1158
8.95 IPS |
|
|
Depth Estimation (Q)
|
62% |
846
8.01 IPS |
|
|
Style Transfer (SP)
|
100% |
1947
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
2556
3.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2957
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
416
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
50
66.8 IPS |
|
|
Text Classification (HP)
|
100% |
50
67.0 IPS |
|
|
Text Classification (Q)
|
91% |
96
128.5 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.84 IPS |
