Samsung Galaxy S23 Ultra
Geekbench AI Score
449
Single Precision Score
17243
Half Precision Score
42727
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | wei971214 |
| Upload Date | February 09 2026 04:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
13377
2.49 KIPS |
|
|
Image Classification (Q)
|
96% |
31580
5.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
346
5.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
7785
126.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
28006
455.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
68915
80.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
293451
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
12520
993.1 IPS |
|
|
Object Detection (Q)
|
86% |
18647
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (HP)
|
100% |
24991
297.0 IPS |
|
|
Face Detection (Q)
|
97% |
88312
1.05 KIPS |
|
|
Depth Estimation (SP)
|
100% |
568
4.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
44968
346.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
104802
987.1 IPS |
|
|
Style Transfer (SP)
|
100% |
927
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
56338
72.4 IPS |
|
|
Style Transfer (Q)
|
98% |
287354
370.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32987
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
83029
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
403
538.1 IPS |
|
|
Text Classification (HP)
|
100% |
2836
3.79 KIPS |
|
|
Text Classification (Q)
|
93% |
8209
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (Q)
|
55% |
2312
60.6 IPS |
