Samsung Galaxy S23 Ultra
Geekbench AI Score
2099
Single Precision Score
2093
Half Precision Score
3279
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 09:08 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-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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1859
345.8 IPS |
|
|
Image Classification (HP)
|
100% |
1848
343.7 IPS |
|
|
Image Classification (Q)
|
100% |
2948
548.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3194
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3059
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2987
3.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
6857
8.13 IPS |
|
|
Object Detection (SP)
|
98% |
1724
137.2 IPS |
|
|
Object Detection (HP)
|
98% |
1747
139.0 IPS |
|
|
Object Detection (Q)
|
83% |
2194
177.2 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (Q)
|
95% |
4651
55.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2806
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2877
22.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4783
43.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6879
8.93 IPS |
|
|
Style Transfer (HP)
|
89% |
6852
8.89 IPS |
|
|
Style Transfer (Q)
|
98% |
14186
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3917
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
692
924.1 IPS |
|
|
Text Classification (HP)
|
99% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1086
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1489
25.6 IPS |
|
|
Machine Translation (Q)
|
50% |
756
26.8 IPS |
