Samsung Galaxy S23 Ultra
Geekbench AI Score
952
Single Precision Score
769
Half Precision Score
1434
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 05:44 PM |
| Views | 1 |
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% |
921
171.3 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
100% |
1469
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1562
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1774
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1444
1.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
2835
3.36 IPS |
|
|
Object Detection (SP)
|
98% |
560
44.5 IPS |
|
|
Object Detection (HP)
|
98% |
510
40.6 IPS |
|
|
Object Detection (Q)
|
83% |
977
78.9 IPS |
|
|
Face Detection (SP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
700
8.32 IPS |
|
|
Face Detection (Q)
|
95% |
1540
18.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1703
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1326
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2462
22.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2797
3.63 IPS |
|
|
Style Transfer (HP)
|
89% |
1815
2.36 IPS |
|
|
Style Transfer (Q)
|
98% |
5270
6.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1464
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
313
418.3 IPS |
|
|
Text Classification (HP)
|
99% |
341
454.8 IPS |
|
|
Text Classification (Q)
|
88% |
537
724.6 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
370
13.1 IPS |
