Samsung Galaxy S23 Ultra
Geekbench AI Score
916
Single Precision Score
788
Half Precision Score
1462
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 08:54 AM |
| Views | 2 |
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% |
1088
202.3 IPS |
|
|
Image Classification (HP)
|
100% |
676
125.6 IPS |
|
|
Image Classification (Q)
|
100% |
1558
289.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1748
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1953
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1266
1.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
2890
3.43 IPS |
|
|
Object Detection (SP)
|
98% |
559
44.4 IPS |
|
|
Object Detection (HP)
|
98% |
293
23.3 IPS |
|
|
Object Detection (Q)
|
83% |
1033
83.4 IPS |
|
|
Face Detection (SP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2124
25.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1305
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1078
8.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
2199
20.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2898
3.76 IPS |
|
|
Style Transfer (HP)
|
89% |
2905
3.77 IPS |
|
|
Style Transfer (Q)
|
98% |
5236
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
654
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1191
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.6 IPS |
|
|
Text Classification (HP)
|
99% |
350
466.8 IPS |
|
|
Text Classification (Q)
|
88% |
518
699.2 IPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
