Samsung Galaxy S23
Geekbench AI Score
1599
Single Precision Score
2467
Half Precision Score
2007
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bkr899 |
| Upload Date | November 08 2025 04:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1031
191.8 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.8 IPS |
|
|
Image Classification (Q)
|
99% |
1347
251.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3869
62.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3126
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8523
9.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
15455
18.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
15079
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (HP)
|
99% |
1145
90.9 IPS |
|
|
Object Detection (Q)
|
82% |
1152
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
5533
65.7 IPS |
|
|
Face Detection (Q)
|
97% |
4545
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3690
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5433
42.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
5166
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11190
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23475
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19629
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2000
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3011
111.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2794
103.5 IPS |
|
|
Text Classification (SP)
|
35% |
36
346.8 IPS |
|
|
Text Classification (HP)
|
35% |
48
436.0 IPS |
|
|
Text Classification (Q)
|
35% |
44
428.7 IPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
97% |
785
13.6 IPS |
|
|
Machine Translation (Q)
|
49% |
256
9.63 IPS |
