Samsung Galaxy S23
Geekbench AI Score
1754
Single Precision Score
2710
Half Precision Score
2248
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | cpayne1303 |
| Upload Date | October 09 2025 10:22 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% |
1071
199.1 IPS |
|
|
Image Classification (HP)
|
100% |
1577
293.3 IPS |
|
|
Image Classification (Q)
|
99% |
1399
261.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3931
63.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3096
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8449
9.86 IPS |
|
|
Pose Estimation (HP)
|
99% |
15361
18.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
14489
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (HP)
|
99% |
1328
105.3 IPS |
|
|
Object Detection (Q)
|
82% |
1230
99.6 IPS |
|
|
Face Detection (SP)
|
100% |
3621
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6309
75.0 IPS |
|
|
Face Detection (Q)
|
97% |
5927
70.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4382
33.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6473
50.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
5163
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10990
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23524
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23164
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3229
119.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3481
129.0 IPS |
|
|
Text Classification (SP)
|
35% |
44
423.7 IPS |
|
|
Text Classification (HP)
|
35% |
67
606.3 IPS |
|
|
Text Classification (Q)
|
35% |
61
589.4 IPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
97% |
815
14.1 IPS |
|
|
Machine Translation (Q)
|
49% |
284
10.7 IPS |
