Samsung Galaxy S23 Ultra
Geekbench AI Score
280
Single Precision Score
16720
Half Precision Score
41002
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | ATHENAxjdn |
| Upload Date | January 20 2026 08:58 AM |
| Views | 8 |
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-S918N |
| 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% |
12943
2.41 KIPS |
|
|
Image Classification (Q)
|
96% |
31462
5.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
7367
119.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
26713
434.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
74555
87.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
291113
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
12011
952.7 IPS |
|
|
Object Detection (Q)
|
86% |
17360
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (HP)
|
100% |
22746
270.3 IPS |
|
|
Face Detection (Q)
|
97% |
77991
930.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
377
2.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
44153
340.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
101353
954.6 IPS |
|
|
Style Transfer (SP)
|
100% |
675
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
57103
73.4 IPS |
|
|
Style Transfer (Q)
|
98% |
284992
367.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32998
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82833
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
222
296.4 IPS |
|
|
Text Classification (HP)
|
100% |
2824
3.77 KIPS |
|
|
Text Classification (Q)
|
93% |
8202
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (HP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2066
54.1 IPS |
