Samsung Galaxy S23 Ultra
Geekbench AI Score
455
Single Precision Score
17409
Half Precision Score
42773
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | dad |
| Upload Date | March 03 2026 08:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
13883
2.58 KIPS |
|
|
Image Classification (Q)
|
96% |
31708
5.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
7927
128.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
28196
458.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
70012
81.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
293434
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
12623
1.00 KIPS |
|
|
Object Detection (Q)
|
86% |
18673
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
665
7.91 IPS |
|
|
Face Detection (HP)
|
100% |
25181
299.2 IPS |
|
|
Face Detection (Q)
|
97% |
88411
1.05 KIPS |
|
|
Depth Estimation (SP)
|
100% |
575
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
45074
347.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
104883
987.9 IPS |
|
|
Style Transfer (SP)
|
100% |
941
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
56178
72.2 IPS |
|
|
Style Transfer (Q)
|
98% |
287531
370.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32996
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82973
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
407
542.6 IPS |
|
|
Text Classification (HP)
|
100% |
2836
3.78 KIPS |
|
|
Text Classification (Q)
|
93% |
8178
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2313
60.6 IPS |
