Samsung Galaxy S23 Ultra
Geekbench AI Score
960
Single Precision Score
942
Half Precision Score
1552
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 12:14 AM |
| 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-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% |
984
183.1 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (Q)
|
100% |
1517
282.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1715
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1812
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1742
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
3465
4.11 IPS |
|
|
Object Detection (SP)
|
98% |
647
51.5 IPS |
|
|
Object Detection (HP)
|
98% |
656
52.2 IPS |
|
|
Object Detection (Q)
|
83% |
1238
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1174
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
1931
23.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1589
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1577
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2735
25.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3282
4.26 IPS |
|
|
Style Transfer (HP)
|
89% |
3294
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
7199
9.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
720
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1261
46.7 IPS |
|
|
Text Classification (SP)
|
100% |
345
459.9 IPS |
|
|
Text Classification (HP)
|
99% |
367
490.3 IPS |
|
|
Text Classification (Q)
|
88% |
571
770.6 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
266
9.44 IPS |
