Samsung Galaxy S23 Ultra
Geekbench AI Score
280
Single Precision Score
281
Half Precision Score
640
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 08:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
99% |
417
77.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
444
7.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1096
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
452
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
450
5.35 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
97% |
951
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
378
2.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
887
8.04 IPS |
|
|
Style Transfer (SP)
|
100% |
678
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
682
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1902
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
635
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.2 IPS |
|
|
Text Classification (HP)
|
100% |
226
301.4 IPS |
|
|
Text Classification (Q)
|
91% |
374
502.7 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.06 IPS |
