Samsung Galaxy S23 Ultra
Geekbench AI Score
281
Single Precision Score
16092
Half Precision Score
36528
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Physicist |
| Upload Date | July 19 2025 01:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
12490
2.32 KIPS |
|
|
Image Classification (Q)
|
97% |
32214
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
7386
119.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21156
344.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
73262
85.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
294796
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11925
945.9 IPS |
|
|
Object Detection (Q)
|
86% |
13425
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (HP)
|
100% |
23731
282.0 IPS |
|
|
Face Detection (Q)
|
97% |
81103
967.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
383
2.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
44653
344.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
81501
763.1 IPS |
|
|
Style Transfer (SP)
|
100% |
679
0.87 IPS |
|
|
Style Transfer (HP)
|
98% |
60861
78.5 IPS |
|
|
Style Transfer (Q)
|
98% |
294026
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32690
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82099
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
222
296.6 IPS |
|
|
Text Classification (HP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5642
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
403
6.95 IPS |
|
|
Machine Translation (HP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (Q)
|
55% |
1742
45.6 IPS |
