Samsung Galaxy S23 Ultra
Geekbench AI Score
232
Single Precision Score
15906
Half Precision Score
35540
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Suhiel |
| Upload Date | March 02 2025 10:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
12503
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
32158
6.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
7494
121.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20860
339.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
71104
83.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
292666
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
126
9.96 IPS |
|
|
Object Detection (HP)
|
100% |
11655
924.5 IPS |
|
|
Object Detection (Q)
|
86% |
13119
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
22842
271.4 IPS |
|
|
Face Detection (Q)
|
97% |
74731
891.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
44459
342.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
79584
745.2 IPS |
|
|
Style Transfer (SP)
|
100% |
497
0.64 IPS |
|
|
Style Transfer (HP)
|
98% |
60682
78.2 IPS |
|
|
Style Transfer (Q)
|
98% |
290914
375.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32188
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
77837
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
152
203.4 IPS |
|
|
Text Classification (HP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5565
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
2682
46.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1666
43.6 IPS |
