Samsung Galaxy S23 Ultra
Geekbench AI Score
1498
Single Precision Score
1477
Half Precision Score
2094
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Wsuone |
| Upload Date | February 03 2025 08:53 PM |
| Views | 6 |
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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1680
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
1713
318.6 IPS |
|
|
Image Classification (Q)
|
100% |
2077
386.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2759
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2509
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2095
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
4751
5.64 IPS |
|
|
Object Detection (SP)
|
98% |
1115
88.7 IPS |
|
|
Object Detection (HP)
|
98% |
1105
87.9 IPS |
|
|
Object Detection (Q)
|
83% |
1511
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
2169
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2138
25.4 IPS |
|
|
Face Detection (Q)
|
95% |
3318
39.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1902
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1812
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2563
23.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4459
5.79 IPS |
|
|
Style Transfer (HP)
|
89% |
4564
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
7749
9.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
979
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2036
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
380
506.8 IPS |
|
|
Text Classification (HP)
|
99% |
403
537.8 IPS |
|
|
Text Classification (Q)
|
88% |
609
821.9 IPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.2 IPS |
