Samsung Galaxy S23 Ultra
Geekbench AI Score
250
Single Precision Score
240
Half Precision Score
548
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | umosmani |
| Upload Date | August 15 2024 09:52 PM |
| Views | 17 |
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-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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
97% |
413
77.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
437
7.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
926
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (Q)
|
89% |
421
33.7 IPS |
|
|
Face Detection (SP)
|
100% |
418
4.96 IPS |
|
|
Face Detection (HP)
|
100% |
381
4.53 IPS |
|
|
Face Detection (Q)
|
97% |
788
9.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
318
2.45 IPS |
|
|
Depth Estimation (HP)
|
100% |
318
2.45 IPS |
|
|
Depth Estimation (Q)
|
73% |
775
6.34 IPS |
|
|
Style Transfer (SP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
535
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
1427
1.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
144
5.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
496
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.3 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.3 IPS |
|
|
Text Classification (Q)
|
91% |
311
418.3 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.37 IPS |
