Samsung Galaxy S23 Ultra
Geekbench AI Score
482
Single Precision Score
12323
Half Precision Score
28869
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | stan115 |
| Upload Date | November 04 2024 09:40 AM |
| Views | 4 |
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-S9180 |
| 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% |
310
57.6 IPS |
|
|
Image Classification (HP)
|
100% |
13262
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
32895
6.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
7907
128.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20527
333.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
499
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
72263
84.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
294422
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
12424
985.5 IPS |
|
|
Object Detection (Q)
|
86% |
13423
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (HP)
|
100% |
26166
310.9 IPS |
|
|
Face Detection (Q)
|
97% |
91100
1.09 KIPS |
|
|
Depth Estimation (SP)
|
100% |
613
4.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
43653
336.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
82673
774.1 IPS |
|
|
Style Transfer (SP)
|
100% |
988
1.27 IPS |
|
|
Style Transfer (HP)
|
24% |
2989
90.4 IPS |
|
|
Style Transfer (Q)
|
98% |
221353
285.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32708
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82936
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
439
586.6 IPS |
|
|
Text Classification (HP)
|
100% |
2481
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5317
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3097
53.4 IPS |
|
|
Machine Translation (Q)
|
30% |
205
41.2 IPS |
