Samsung Galaxy S23
Geekbench AI Score
1791
Single Precision Score
2760
Half Precision Score
2265
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bkr899 |
| Upload Date | October 28 2025 05:37 PM |
| Views | 9 |
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% |
1038
192.9 IPS |
|
|
Image Classification (HP)
|
100% |
1586
295.0 IPS |
|
|
Image Classification (Q)
|
99% |
1430
266.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3863
62.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3096
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8528
9.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
15478
18.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
14518
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
963
76.4 IPS |
|
|
Object Detection (HP)
|
99% |
1247
98.9 IPS |
|
|
Object Detection (Q)
|
82% |
1274
103.1 IPS |
|
|
Face Detection (SP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
6479
77.0 IPS |
|
|
Face Detection (Q)
|
97% |
5060
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4448
34.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6403
49.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
5159
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10781
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22424
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20844
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3531
130.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3623
134.2 IPS |
|
|
Text Classification (SP)
|
35% |
48
465.0 IPS |
|
|
Text Classification (HP)
|
35% |
65
586.7 IPS |
|
|
Text Classification (Q)
|
35% |
89
866.3 IPS |
|
|
Machine Translation (SP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (HP)
|
97% |
1016
17.6 IPS |
|
|
Machine Translation (Q)
|
49% |
248
9.33 IPS |
