Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
575
Single Precision Score
606
Half Precision Score
632
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 11:47 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998W |
| 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 | 10.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
97% |
214
39.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
544
8.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
741
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
398
0.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
400
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
86% |
357
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
1828
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1021
7.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
1139
8.78 IPS |
|
|
Depth Estimation (Q)
|
75% |
1066
8.61 IPS |
|
|
Style Transfer (SP)
|
100% |
2212
2.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3408
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3070
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
500
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
281
374.6 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.2 IPS |
|
|
Text Classification (Q)
|
91% |
512
688.5 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (Q)
|
57% |
401
9.79 IPS |
