Samsung Galaxy S23
Geekbench AI Score
478
Single Precision Score
17358
Half Precision Score
42601
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | PorywaczPiotrus |
| Upload Date | January 08 2026 10:18 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 6.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
314
58.3 IPS |
|
|
Image Classification (HP)
|
100% |
13577
2.52 KIPS |
|
|
Image Classification (Q)
|
96% |
31375
5.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
7744
125.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
27844
452.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
73241
85.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
294844
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
12548
995.3 IPS |
|
|
Object Detection (Q)
|
86% |
18665
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
699
8.30 IPS |
|
|
Face Detection (HP)
|
100% |
25187
299.3 IPS |
|
|
Face Detection (Q)
|
97% |
87080
1.04 KIPS |
|
|
Depth Estimation (SP)
|
100% |
605
4.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
44764
344.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
103876
978.4 IPS |
|
|
Style Transfer (SP)
|
100% |
995
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
57245
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
287324
370.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33004
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82895
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
425
566.6 IPS |
|
|
Text Classification (HP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (Q)
|
93% |
8155
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4279
73.7 IPS |
|
|
Machine Translation (Q)
|
55% |
2331
61.1 IPS |
