Samsung Galaxy S23
Geekbench AI Score
401
Single Precision Score
16534
Half Precision Score
37170
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 02:41 AM |
| Views | 4 |
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 |
| Model ID | samsung SM-S911B |
| 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% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
100% |
13213
2.46 KIPS |
|
|
Image Classification (Q)
|
97% |
32433
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
7844
127.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21944
356.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
72393
84.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
295686
346.1 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
12294
975.2 IPS |
|
|
Object Detection (Q)
|
86% |
13930
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (HP)
|
100% |
25130
298.6 IPS |
|
|
Face Detection (Q)
|
97% |
86171
1.03 KIPS |
|
|
Depth Estimation (SP)
|
100% |
521
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
45100
347.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
81971
767.5 IPS |
|
|
Style Transfer (SP)
|
100% |
752
0.97 IPS |
|
|
Style Transfer (HP)
|
98% |
60105
77.5 IPS |
|
|
Style Transfer (Q)
|
98% |
294461
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
237
8.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32609
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82024
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
298
397.4 IPS |
|
|
Text Classification (HP)
|
100% |
2527
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1801
47.2 IPS |
