Samsung Galaxy S23
Geekbench AI Score
867
Single Precision Score
710
Half Precision Score
1389
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gauravtab1 |
| Upload Date | February 07 2025 08:10 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
858
159.5 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
100% |
853
158.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
1380
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1481
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1279
1.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
2404
2.85 IPS |
|
|
Object Detection (SP)
|
98% |
493
39.2 IPS |
|
|
Object Detection (HP)
|
98% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
83% |
859
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2152
25.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1782
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1031
7.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
2622
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2911
3.78 IPS |
|
|
Style Transfer (HP)
|
89% |
2974
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
6258
8.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
671
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1474
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
345
460.9 IPS |
|
|
Text Classification (HP)
|
99% |
264
352.3 IPS |
|
|
Text Classification (Q)
|
88% |
571
769.6 IPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
371
13.2 IPS |
