Samsung Galaxy S23
Geekbench AI Score
415
Single Precision Score
16566
Half Precision Score
37369
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 06:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911N |
| 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (HP)
|
100% |
13331
2.48 KIPS |
|
|
Image Classification (Q)
|
97% |
32466
6.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
7810
126.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21787
354.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
71109
83.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
294808
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
12225
969.7 IPS |
|
|
Object Detection (Q)
|
86% |
13827
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
571
6.79 IPS |
|
|
Face Detection (HP)
|
100% |
25269
300.2 IPS |
|
|
Face Detection (Q)
|
97% |
87276
1.04 KIPS |
|
|
Depth Estimation (SP)
|
100% |
531
4.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
45129
347.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
82402
771.6 IPS |
|
|
Style Transfer (SP)
|
100% |
838
1.08 IPS |
|
|
Style Transfer (HP)
|
98% |
60214
77.6 IPS |
|
|
Style Transfer (Q)
|
98% |
294753
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32731
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82222
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
335
447.2 IPS |
|
|
Text Classification (HP)
|
100% |
2531
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5645
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (HP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1872
49.0 IPS |
