Samsung Galaxy S23 Ultra
Geekbench AI Score
637
Single Precision Score
870
Half Precision Score
838
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | mutomboken |
| Upload Date | September 18 2024 09:16 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 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% |
647
120.3 IPS |
|
|
Image Classification (HP)
|
100% |
1128
209.8 IPS |
|
|
Image Classification (Q)
|
96% |
1060
198.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1811
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
673
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
690
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
689
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
87% |
433
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1862
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1686
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
731
5.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
1396
10.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1162
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1863
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
4238
5.45 IPS |
|
|
Style Transfer (Q)
|
98% |
4208
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
181
6.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
182
6.74 IPS |
|
|
Text Classification (SP)
|
100% |
370
494.5 IPS |
|
|
Text Classification (HP)
|
100% |
370
493.9 IPS |
|
|
Text Classification (Q)
|
91% |
535
719.3 IPS |
|
|
Machine Translation (SP)
|
100% |
578
9.95 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (Q)
|
57% |
375
9.16 IPS |
