Samsung Galaxy S23 Ultra
Geekbench AI Score
784
Single Precision Score
765
Half Precision Score
1305
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | markbyrn |
| Upload Date | September 05 2024 12:25 PM |
| Views | 9 |
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% |
450
83.8 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.7 IPS |
|
|
Image Classification (Q)
|
100% |
1428
265.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1536
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1984
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1786
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
2794
3.31 IPS |
|
|
Object Detection (SP)
|
98% |
322
25.6 IPS |
|
|
Object Detection (HP)
|
98% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
87% |
776
62.3 IPS |
|
|
Face Detection (SP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (Q)
|
95% |
1555
18.6 IPS |
|
|
Depth Estimation (SP)
|
98% |
1127
8.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1325
10.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
2392
19.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2916
3.79 IPS |
|
|
Style Transfer (HP)
|
89% |
2829
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
4348
5.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
754
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1138
42.2 IPS |
|
|
Text Classification (SP)
|
100% |
247
329.4 IPS |
|
|
Text Classification (HP)
|
99% |
248
330.7 IPS |
|
|
Text Classification (Q)
|
88% |
491
661.8 IPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
