Samsung Galaxy S23 Ultra
Geekbench AI Score
917
Single Precision Score
820
Half Precision Score
1360
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 01:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918N |
| 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% |
942
175.1 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (Q)
|
100% |
1458
271.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1325
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1836
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1384
1.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
2833
3.36 IPS |
|
|
Object Detection (SP)
|
98% |
518
41.2 IPS |
|
|
Object Detection (HP)
|
98% |
549
43.7 IPS |
|
|
Object Detection (Q)
|
83% |
791
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2114
25.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1326
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1338
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
1599
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2663
3.46 IPS |
|
|
Style Transfer (HP)
|
89% |
2885
3.75 IPS |
|
|
Style Transfer (Q)
|
98% |
5261
6.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
670
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1473
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
345
459.9 IPS |
|
|
Text Classification (HP)
|
99% |
351
467.8 IPS |
|
|
Text Classification (Q)
|
88% |
519
700.4 IPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
369
13.1 IPS |
