samsung SM-G990B2
Geekbench AI Score
295
Single Precision Score
353
Half Precision Score
52
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | January 20 2025 07:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
318
59.1 IPS |
|
|
Image Classification (HP)
|
100% |
654
121.6 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.27 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
86
1.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
1813
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5627
6.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
251
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (HP)
|
99% |
980
77.8 IPS |
|
|
Object Detection (Q)
|
2% |
10
243.9 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
79
0.93 IPS |
|
|
Face Detection (Q)
|
97% |
216
2.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
168
1.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
74
0.57 IPS |
|
|
Depth Estimation (Q)
|
5% |
38
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
626
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
125
0.16 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2279
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
258
9.55 IPS |
|
|
Text Classification (SP)
|
100% |
3
4.16 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.8 IPS |
|
|
Text Classification (Q)
|
93% |
30
39.7 IPS |
|
|
Machine Translation (SP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.88 IPS |
