Samsung Galaxy S23 Ultra
Geekbench AI Score
278
Single Precision Score
16002
Half Precision Score
36156
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 08 2025 10:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
12486
2.32 KIPS |
|
|
Image Classification (Q)
|
97% |
32340
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
7367
119.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20882
339.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
286
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
70306
82.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
292781
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
11680
926.5 IPS |
|
|
Object Detection (Q)
|
86% |
13263
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (HP)
|
100% |
23433
278.4 IPS |
|
|
Face Detection (Q)
|
97% |
81218
968.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
377
2.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
44084
339.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
80082
749.9 IPS |
|
|
Style Transfer (SP)
|
100% |
672
0.86 IPS |
|
|
Style Transfer (HP)
|
98% |
60817
78.4 IPS |
|
|
Style Transfer (Q)
|
98% |
292988
377.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32649
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82020
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
222
296.2 IPS |
|
|
Text Classification (HP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5652
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (HP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1648
43.2 IPS |
