Samsung Galaxy S23
Geekbench AI Score
1544
Single Precision Score
2357
Half Precision Score
1993
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 08 2025 01:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1026
190.8 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.3 IPS |
|
|
Image Classification (Q)
|
99% |
1464
273.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3830
62.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3843
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8528
9.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
15474
18.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
15120
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
99% |
1104
87.6 IPS |
|
|
Object Detection (Q)
|
82% |
1126
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
3328
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5695
67.7 IPS |
|
|
Face Detection (Q)
|
97% |
4442
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3292
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4977
38.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3990
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8606
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17791
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17693
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2730
100.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2743
101.7 IPS |
|
|
Text Classification (SP)
|
35% |
37
357.7 IPS |
|
|
Text Classification (HP)
|
35% |
48
437.9 IPS |
|
|
Text Classification (Q)
|
35% |
45
440.9 IPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
97% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
49% |
267
10.0 IPS |
