Samsung Galaxy S23
Geekbench AI Score
456
Single Precision Score
461
Half Precision Score
1003
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 01:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
294
54.6 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.1 IPS |
|
|
Image Classification (Q)
|
99% |
726
135.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1950
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
87% |
786
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
671
7.97 IPS |
|
|
Face Detection (HP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (Q)
|
97% |
1478
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
586
4.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
593
4.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
1444
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
955
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
967
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
2189
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1065
39.5 IPS |
|
|
Text Classification (SP)
|
100% |
388
517.8 IPS |
|
|
Text Classification (HP)
|
100% |
389
519.0 IPS |
|
|
Text Classification (Q)
|
91% |
564
758.5 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
438
10.7 IPS |
