Samsung Galaxy S23
Geekbench AI Score
1430
Single Precision Score
2330
Half Precision Score
1871
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 05:03 PM |
| Views | 1 |
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% |
628
116.8 IPS |
|
|
Image Classification (HP)
|
100% |
1022
190.0 IPS |
|
|
Image Classification (Q)
|
99% |
923
172.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2831
45.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2232
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7438
8.68 IPS |
|
|
Pose Estimation (HP)
|
99% |
13250
15.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
11879
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (HP)
|
99% |
1196
94.9 IPS |
|
|
Object Detection (Q)
|
82% |
1180
95.6 IPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
5867
69.7 IPS |
|
|
Face Detection (Q)
|
97% |
4656
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3666
28.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5433
42.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
4360
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9493
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19677
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19251
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3031
111.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3186
118.0 IPS |
|
|
Text Classification (SP)
|
35% |
39
383.1 IPS |
|
|
Text Classification (HP)
|
35% |
53
480.0 IPS |
|
|
Text Classification (Q)
|
35% |
50
490.8 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
97% |
1023
17.7 IPS |
|
|
Machine Translation (Q)
|
49% |
293
11.0 IPS |
