Samsung Galaxy S23 Ultra
Geekbench AI Score
822
Single Precision Score
820
Half Precision Score
1405
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 02:12 AM |
| 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-S918B |
| 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% |
999
185.7 IPS |
|
|
Image Classification (HP)
|
100% |
695
129.3 IPS |
|
|
Image Classification (Q)
|
100% |
1536
285.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1681
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1821
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
2834
3.36 IPS |
|
|
Object Detection (SP)
|
98% |
558
44.4 IPS |
|
|
Object Detection (HP)
|
98% |
521
41.5 IPS |
|
|
Object Detection (Q)
|
83% |
968
78.2 IPS |
|
|
Face Detection (SP)
|
100% |
973
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
1626
19.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
974
7.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
1084
8.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
2209
20.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1980
2.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1948
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
4528
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
754
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1477
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
342
456.9 IPS |
|
|
Text Classification (HP)
|
99% |
344
459.5 IPS |
|
|
Text Classification (Q)
|
88% |
539
726.5 IPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
327
11.6 IPS |
