Samsung Galaxy S23 Ultra
Geekbench AI Score
486
Single Precision Score
16921
Half Precision Score
38064
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 15 2025 03:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
312
58.0 IPS |
|
|
Image Classification (HP)
|
100% |
13369
2.49 KIPS |
|
|
Image Classification (Q)
|
97% |
32562
6.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
7913
128.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22082
359.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
507
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
73032
85.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
298564
349.5 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
12406
984.0 IPS |
|
|
Object Detection (Q)
|
86% |
14118
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (HP)
|
100% |
25965
308.5 IPS |
|
|
Face Detection (Q)
|
97% |
92142
1.10 KIPS |
|
|
Depth Estimation (SP)
|
100% |
614
4.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
45812
353.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
83910
785.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1003
1.29 IPS |
|
|
Style Transfer (HP)
|
98% |
61206
78.9 IPS |
|
|
Style Transfer (Q)
|
98% |
297921
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34452
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
85585
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
433
578.3 IPS |
|
|
Text Classification (HP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5673
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1884
49.4 IPS |
