samsung SM-G990B2
Geekbench AI Score
306
Single Precision Score
304
Half Precision Score
600
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 04:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM SM8350 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.0 IPS |
|
|
Image Classification (Q)
|
100% |
402
74.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
492
8.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
607
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
601
0.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
1199
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (Q)
|
83% |
408
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
95% |
863
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
511
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
1045
9.57 IPS |
|
|
Style Transfer (SP)
|
89% |
1124
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1120
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2504
3.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
644
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.2 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.0 IPS |
|
|
Text Classification (Q)
|
88% |
269
363.0 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
50% |
160
5.68 IPS |
