samsung SM-G990B2
Geekbench AI Score
1031
Single Precision Score
1619
Half Precision Score
1485
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 04:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.1 IPS |
|
|
Image Classification (Q)
|
99% |
598
111.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1300
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4897
5.71 IPS |
|
|
Pose Estimation (HP)
|
99% |
8402
9.80 IPS |
|
|
Pose Estimation (Q)
|
97% |
8393
9.83 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.1 IPS |
|
|
Object Detection (HP)
|
99% |
1069
84.8 IPS |
|
|
Object Detection (Q)
|
85% |
958
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
2280
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
3213
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2534
19.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3454
26.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2936
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5605
7.20 IPS |
|
|
Style Transfer (HP)
|
100% |
11569
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
11472
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1271
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2029
75.2 IPS |
|
|
Text Classification (SP)
|
35% |
35
342.7 IPS |
|
|
Text Classification (HP)
|
35% |
58
530.6 IPS |
|
|
Text Classification (Q)
|
35% |
57
522.7 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
97% |
843
14.6 IPS |
|
|
Machine Translation (Q)
|
64% |
669
13.7 IPS |
