samsung SM-G990B2
Geekbench AI Score
57
Single Precision Score
57
Half Precision Score
14174
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | January 20 2025 08:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
32
5.99 IPS |
|
|
Image Classification (HP)
|
100% |
33
6.11 IPS |
|
|
Image Classification (Q)
|
99% |
10779
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
42
0.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
42
0.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
10309
167.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
59
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
59
0.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
101843
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
34
2.67 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.65 IPS |
|
|
Object Detection (Q)
|
88% |
6091
488.0 IPS |
|
|
Face Detection (SP)
|
100% |
76
0.91 IPS |
|
|
Face Detection (HP)
|
100% |
77
0.91 IPS |
|
|
Face Detection (Q)
|
97% |
23457
279.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
74
0.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
74
0.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
34981
322.0 IPS |
|
|
Style Transfer (SP)
|
100% |
134
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
130
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
139846
180.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41
1.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41
1.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
29991
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
56
74.4 IPS |
|
|
Text Classification (HP)
|
100% |
56
75.0 IPS |
|
|
Text Classification (Q)
|
94% |
2514
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (Q)
|
50% |
549
19.0 IPS |
