samsung SM-G990W2
Geekbench AI Score
459
Single Precision Score
794
Half Precision Score
101
Quantized Score
Geekbench AI 1.1.0-Beta2 Corporate for Android AArch64
Result Information
| Upload Date | September 04 2024 12:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM SM8350 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-G990W2 |
| Model ID | samsung SM-G990W2 |
| 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% |
569
105.9 IPS |
|
|
Image Classification (HP)
|
100% |
1119
208.2 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.30 IPS |
|
|
Image Segmentation (SP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
572
9.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
1921
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
7055
8.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
1094
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
99% |
727
57.7 IPS |
|
|
Object Detection (Q)
|
2% |
12
286.9 IPS |
|
|
Face Detection (SP)
|
100% |
1248
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
357
4.25 IPS |
|
|
Face Detection (Q)
|
97% |
827
9.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
486
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
292
2.25 IPS |
|
|
Depth Estimation (Q)
|
5% |
36
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1389
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
463
0.60 IPS |
|
|
Style Transfer (Q)
|
18% |
13
0.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3297
121.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.54 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.81 IPS |
|
|
Text Classification (HP)
|
100% |
220
294.1 IPS |
|
|
Text Classification (Q)
|
93% |
33
43.9 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.19 IPS |
|
|
Machine Translation (Q)
|
57% |
268
6.56 IPS |
