Samsung Galaxy S23 Ultra
Geekbench AI Score
412
Single Precision Score
412
Half Precision Score
862
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | IGeek |
| Upload Date | January 24 2025 10:04 PM |
| Views | 21 |
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-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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
289
53.8 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (Q)
|
99% |
693
129.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
743
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (Q)
|
98% |
1580
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (Q)
|
87% |
593
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
583
6.93 IPS |
|
|
Face Detection (Q)
|
97% |
1149
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
502
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
502
3.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1118
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
832
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
820
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
1814
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
959
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
354
472.8 IPS |
|
|
Text Classification (HP)
|
100% |
353
471.5 IPS |
|
|
Text Classification (Q)
|
91% |
509
683.6 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (Q)
|
57% |
413
10.1 IPS |
