Samsung Galaxy S23
Geekbench AI Score
441
Single Precision Score
605
Half Precision Score
572
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | janniebasson001 |
| Upload Date | January 25 2025 01:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
854
158.8 IPS |
|
|
Image Classification (Q)
|
96% |
431
80.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1033
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
859
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
422
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
619
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
614
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (Q)
|
87% |
375
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1503
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
629
4.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
1231
9.51 IPS |
|
|
Depth Estimation (Q)
|
63% |
1019
9.45 IPS |
|
|
Style Transfer (SP)
|
100% |
1598
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
3631
4.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3591
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
195
7.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
184
6.82 IPS |
|
|
Text Classification (SP)
|
100% |
133
177.3 IPS |
|
|
Text Classification (HP)
|
100% |
133
177.5 IPS |
|
|
Text Classification (Q)
|
91% |
221
296.8 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
207
3.56 IPS |
|
|
Machine Translation (Q)
|
57% |
198
4.83 IPS |
