samsung SM-G990B2
Geekbench AI Score
800
Single Precision Score
794
Half Precision Score
1307
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 04:04 PM |
| Views | 4 |
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% |
499
92.8 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.3 IPS |
|
|
Image Classification (Q)
|
100% |
1424
264.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1597
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
2998
3.56 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (Q)
|
83% |
1227
99.1 IPS |
|
|
Face Detection (SP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1435
17.1 IPS |
|
|
Face Detection (Q)
|
95% |
3071
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1892
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1829
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2902
26.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3448
4.48 IPS |
|
|
Style Transfer (HP)
|
89% |
3399
4.41 IPS |
|
|
Style Transfer (Q)
|
98% |
7111
9.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
645
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.8 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.3 IPS |
|
|
Text Classification (Q)
|
88% |
273
368.5 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.57 IPS |
