Samsung Galaxy S23
Geekbench AI Score
396
Single Precision Score
17252
Half Precision Score
42378
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 06:16 PM |
| Views | 6 |
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 |
| Model ID | samsung SM-S911W |
| 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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
13331
2.48 KIPS |
|
|
Image Classification (Q)
|
96% |
31671
5.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
7898
128.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
27993
455.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
433
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
72348
84.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
293677
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
12468
988.9 IPS |
|
|
Object Detection (Q)
|
86% |
18310
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (HP)
|
100% |
24633
292.7 IPS |
|
|
Face Detection (Q)
|
97% |
83619
997.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
511
3.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
44946
346.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
104316
982.5 IPS |
|
|
Style Transfer (SP)
|
100% |
838
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
56181
72.2 IPS |
|
|
Style Transfer (Q)
|
98% |
286739
369.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
270
9.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32924
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82534
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
332
443.7 IPS |
|
|
Text Classification (HP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (Q)
|
93% |
8201
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (HP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (Q)
|
55% |
2315
60.7 IPS |
