Samsung Galaxy S21 5G
Geekbench AI Score
393
Single Precision Score
394
Half Precision Score
391
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 08:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991U |
| 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 | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
97% |
331
61.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
238
3.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
407
0.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
418
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (Q)
|
89% |
195
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1180
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
1164
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
998
7.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
1221
9.43 IPS |
|
|
Depth Estimation (Q)
|
62% |
943
8.93 IPS |
|
|
Style Transfer (SP)
|
100% |
2163
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3309
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3529
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
464
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
50
66.2 IPS |
|
|
Text Classification (HP)
|
100% |
50
66.2 IPS |
|
|
Text Classification (Q)
|
91% |
97
129.8 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (HP)
|
100% |
87
1.49 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
