Samsung Galaxy S23 Ultra
Geekbench AI Score
467
Single Precision Score
16649
Half Precision Score
37674
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cracher56 |
| Upload Date | December 29 2024 02:29 PM |
| Views | 8 |
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% |
308
57.4 IPS |
|
|
Image Classification (HP)
|
100% |
13321
2.48 KIPS |
|
|
Image Classification (Q)
|
97% |
32418
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
7850
127.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21888
355.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
72284
84.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
295988
346.4 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
12348
979.5 IPS |
|
|
Object Detection (Q)
|
86% |
14060
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
718
8.54 IPS |
|
|
Face Detection (HP)
|
100% |
25873
307.4 IPS |
|
|
Face Detection (Q)
|
97% |
92065
1.10 KIPS |
|
|
Depth Estimation (SP)
|
100% |
613
4.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
45298
349.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
82965
776.9 IPS |
|
|
Style Transfer (SP)
|
100% |
985
1.27 IPS |
|
|
Style Transfer (HP)
|
98% |
60633
78.2 IPS |
|
|
Style Transfer (Q)
|
98% |
294791
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32746
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82344
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
370
494.2 IPS |
|
|
Text Classification (HP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5657
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
576
9.91 IPS |
|
|
Machine Translation (HP)
|
100% |
2976
51.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1860
48.7 IPS |
