Samsung Galaxy S23 Ultra
Geekbench AI Score
908
Single Precision Score
691
Half Precision Score
1414
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 02:18 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-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% |
989
183.9 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.3 IPS |
|
|
Image Classification (Q)
|
100% |
1416
263.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1739
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1734
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1177
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
2590
3.07 IPS |
|
|
Object Detection (SP)
|
98% |
550
43.8 IPS |
|
|
Object Detection (HP)
|
98% |
288
22.9 IPS |
|
|
Object Detection (Q)
|
83% |
967
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
962
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
948
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
1802
21.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1335
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1094
8.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
2413
22.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2835
3.68 IPS |
|
|
Style Transfer (HP)
|
89% |
1929
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
5267
6.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1157
42.9 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.1 IPS |
|
|
Text Classification (HP)
|
99% |
248
330.5 IPS |
|
|
Text Classification (Q)
|
88% |
600
809.7 IPS |
|
|
Machine Translation (SP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
327
11.6 IPS |
