Samsung Galaxy S23
Geekbench AI Score
961
Single Precision Score
1376
Half Precision Score
1348
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 02:47 AM |
| Views | 2 |
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-S911U |
| 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% |
650
120.9 IPS |
|
|
Image Classification (HP)
|
100% |
1111
206.6 IPS |
|
|
Image Classification (Q)
|
96% |
1015
189.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2088
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
979
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1408
1.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1338
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.1 IPS |
|
|
Object Detection (Q)
|
87% |
859
69.0 IPS |
|
|
Face Detection (SP)
|
100% |
2344
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
3775
44.9 IPS |
|
|
Face Detection (Q)
|
97% |
3262
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1516
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2932
22.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2408
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3869
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8647
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8606
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
375
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
438
585.2 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.3 IPS |
|
|
Text Classification (Q)
|
91% |
644
866.0 IPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
501
12.2 IPS |
