Samsung Galaxy S23 Ultra
Geekbench AI Score
237
Single Precision Score
15880
Half Precision Score
35706
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | HarryN1pz |
| Upload Date | August 02 2025 04:54 PM |
| Views | 8 |
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-S918U |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
12517
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
32203
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
7463
121.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20970
341.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
256
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
71180
83.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
293366
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
11696
927.8 IPS |
|
|
Object Detection (Q)
|
86% |
13178
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (HP)
|
100% |
22772
270.6 IPS |
|
|
Face Detection (Q)
|
97% |
72909
869.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
321
2.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
44520
343.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
79741
746.7 IPS |
|
|
Style Transfer (SP)
|
100% |
550
0.71 IPS |
|
|
Style Transfer (HP)
|
98% |
59889
77.2 IPS |
|
|
Style Transfer (Q)
|
98% |
291080
375.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31794
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81675
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
172
229.2 IPS |
|
|
Text Classification (HP)
|
100% |
2513
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (HP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (Q)
|
55% |
1670
43.8 IPS |
