Samsung Galaxy S23 Ultra
Geekbench AI Score
1555
Single Precision Score
1583
Half Precision Score
2898
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 10:29 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-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% |
574
106.7 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
100% |
1460
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3261
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2623
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2945
3.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
5539
6.57 IPS |
|
|
Object Detection (SP)
|
98% |
1556
123.8 IPS |
|
|
Object Detection (HP)
|
98% |
1537
122.3 IPS |
|
|
Object Detection (Q)
|
83% |
2596
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
1315
15.6 IPS |
|
|
Face Detection (Q)
|
95% |
4961
59.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2851
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2833
21.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2660
24.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6718
8.72 IPS |
|
|
Style Transfer (HP)
|
89% |
6595
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
12725
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3792
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
374
498.8 IPS |
|
|
Text Classification (HP)
|
99% |
735
981.3 IPS |
|
|
Text Classification (Q)
|
88% |
1411
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
680
24.1 IPS |
