Samsung Galaxy S23 Ultra
Geekbench AI Score
390
Single Precision Score
16397
Half Precision Score
37055
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Physicist |
| Upload Date | July 09 2025 09:35 PM |
| Views | 5 |
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% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
13046
2.43 KIPS |
|
|
Image Classification (Q)
|
97% |
32480
6.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
7811
126.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21960
357.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
70921
82.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
293308
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
12096
959.4 IPS |
|
|
Object Detection (Q)
|
86% |
13745
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
544
6.47 IPS |
|
|
Face Detection (HP)
|
100% |
24719
293.7 IPS |
|
|
Face Detection (Q)
|
97% |
83068
990.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
479
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
45012
346.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
81970
767.5 IPS |
|
|
Style Transfer (SP)
|
100% |
794
1.02 IPS |
|
|
Style Transfer (HP)
|
98% |
59352
76.5 IPS |
|
|
Style Transfer (Q)
|
98% |
293783
378.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
254
9.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32702
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82209
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
296
395.2 IPS |
|
|
Text Classification (HP)
|
100% |
2519
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5607
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (HP)
|
100% |
2955
50.9 IPS |
|
|
Machine Translation (Q)
|
55% |
1841
48.2 IPS |
