Samsung Galaxy S23 Ultra
Geekbench AI Score
248
Single Precision Score
245
Half Precision Score
542
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Suhiel |
| Upload Date | March 02 2025 10:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918U |
| 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
99% |
415
77.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
444
7.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
921
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
87% |
397
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
397
4.72 IPS |
|
|
Face Detection (HP)
|
100% |
419
4.98 IPS |
|
|
Face Detection (Q)
|
97% |
875
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
352
2.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
351
2.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
780
7.08 IPS |
|
|
Style Transfer (SP)
|
100% |
579
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
478
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1336
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
496
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
177
236.2 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.1 IPS |
|
|
Text Classification (Q)
|
91% |
294
395.4 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (Q)
|
57% |
247
6.04 IPS |
