Samsung Galaxy S23
Geekbench AI Score
782
Single Precision Score
1026
Half Precision Score
1017
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 01:50 PM |
| Views | 1 |
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% |
573
106.6 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.5 IPS |
|
|
Image Classification (Q)
|
96% |
686
128.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
875
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
1145
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
87% |
705
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
2755
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1242
9.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
2398
18.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1999
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3261
4.19 IPS |
|
|
Style Transfer (HP)
|
100% |
7400
9.51 IPS |
|
|
Style Transfer (Q)
|
98% |
7354
9.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
204
7.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
202
7.50 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.4 IPS |
|
|
Text Classification (HP)
|
100% |
437
583.3 IPS |
|
|
Text Classification (Q)
|
91% |
619
832.6 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
487
11.9 IPS |
