samsung SM-G990B2
Geekbench AI Score
667
Single Precision Score
607
Half Precision Score
1059
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | January 20 2025 06:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
353
65.6 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (Q)
|
100% |
1031
191.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1193
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1814
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1811
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
2284
2.71 IPS |
|
|
Object Detection (SP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
83% |
904
73.1 IPS |
|
|
Face Detection (SP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2270
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1555
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1572
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2129
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2775
3.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2803
3.64 IPS |
|
|
Style Transfer (Q)
|
98% |
5393
6.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
639
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.7 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.5 IPS |
|
|
Text Classification (Q)
|
88% |
267
360.2 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (Q)
|
50% |
158
5.60 IPS |
