Samsung Galaxy S23 Ultra
Geekbench AI Score
950
Single Precision Score
832
Half Precision Score
1397
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Moonmansam |
| Upload Date | November 17 2024 08:42 PM |
| Views | 3 |
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-S918U |
| 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% |
1016
188.9 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.4 IPS |
|
|
Image Classification (Q)
|
100% |
1649
306.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1630
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1961
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1238
1.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
2313
2.74 IPS |
|
|
Object Detection (SP)
|
98% |
522
41.6 IPS |
|
|
Object Detection (HP)
|
98% |
563
44.8 IPS |
|
|
Object Detection (Q)
|
83% |
905
73.1 IPS |
|
|
Face Detection (SP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1014
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
2154
25.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1386
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1135
8.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
1755
16.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2982
3.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2883
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
4522
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1489
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
351
468.7 IPS |
|
|
Text Classification (HP)
|
99% |
321
428.0 IPS |
|
|
Text Classification (Q)
|
88% |
575
776.1 IPS |
|
|
Machine Translation (SP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.2 IPS |
