Samsung Galaxy S23 Ultra
Geekbench AI Score
420
Single Precision Score
16442
Half Precision Score
37367
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 19jet54 |
| Upload Date | July 22 2025 02:25 AM |
| 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-S918U1 |
| 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% |
300
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
12941
2.41 KIPS |
|
|
Image Classification (Q)
|
97% |
32409
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
7798
126.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21985
357.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
69343
80.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
295480
345.8 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
12241
970.9 IPS |
|
|
Object Detection (Q)
|
86% |
13876
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
594
7.06 IPS |
|
|
Face Detection (HP)
|
100% |
25361
301.3 IPS |
|
|
Face Detection (Q)
|
97% |
88112
1.05 KIPS |
|
|
Depth Estimation (SP)
|
100% |
534
4.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
45136
347.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
82278
770.4 IPS |
|
|
Style Transfer (SP)
|
100% |
841
1.08 IPS |
|
|
Style Transfer (HP)
|
98% |
60679
78.2 IPS |
|
|
Style Transfer (Q)
|
98% |
294387
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32732
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82258
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
332
443.0 IPS |
|
|
Text Classification (HP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5643
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (HP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1834
48.1 IPS |
