Samsung Galaxy S23 Ultra
Geekbench AI Score
807
Single Precision Score
760
Half Precision Score
1337
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | umosmani |
| Upload Date | August 15 2024 09:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
658
122.3 IPS |
|
|
Image Classification (HP)
|
100% |
695
129.2 IPS |
|
|
Image Classification (Q)
|
100% |
1143
212.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
486
7.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1410
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1799
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1843
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
3628
4.30 IPS |
|
|
Object Detection (SP)
|
98% |
560
44.6 IPS |
|
|
Object Detection (HP)
|
98% |
298
23.7 IPS |
|
|
Object Detection (Q)
|
87% |
784
63.0 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
840
9.98 IPS |
|
|
Face Detection (Q)
|
95% |
1615
19.3 IPS |
|
|
Depth Estimation (SP)
|
98% |
1334
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1390
10.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
2003
16.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2035
2.64 IPS |
|
|
Style Transfer (HP)
|
89% |
2839
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
4326
5.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
749
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1424
52.8 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.4 IPS |
|
|
Text Classification (HP)
|
99% |
249
332.4 IPS |
|
|
Text Classification (Q)
|
88% |
586
790.0 IPS |
|
|
Machine Translation (SP)
|
100% |
694
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
