Samsung Galaxy S23 Ultra
Geekbench AI Score
986
Single Precision Score
817
Half Precision Score
1736
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:09 PM |
| Views | 1 |
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 Ultra |
| Model ID | samsung SM-S918N |
| 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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (Q)
|
100% |
1668
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1748
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2910
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
3799
4.51 IPS |
|
|
Object Detection (SP)
|
98% |
529
42.1 IPS |
|
|
Object Detection (HP)
|
98% |
689
54.8 IPS |
|
|
Object Detection (Q)
|
83% |
1677
135.4 IPS |
|
|
Face Detection (SP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
2424
28.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1580
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1410
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2700
24.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2989
3.88 IPS |
|
|
Style Transfer (HP)
|
89% |
3057
3.97 IPS |
|
|
Style Transfer (Q)
|
98% |
6825
8.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1500
55.6 IPS |
|
|
Text Classification (SP)
|
100% |
318
425.1 IPS |
|
|
Text Classification (HP)
|
99% |
257
342.4 IPS |
|
|
Text Classification (Q)
|
88% |
392
528.1 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
512
18.2 IPS |
