Samsung Galaxy S23
Geekbench AI Score
1519
Single Precision Score
2374
Half Precision Score
1950
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 08 2025 01:15 PM |
| Views | 5 |
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% |
1170
217.6 IPS |
|
|
Image Classification (HP)
|
100% |
1824
339.1 IPS |
|
|
Image Classification (Q)
|
99% |
1618
301.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4043
65.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2538
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7433
8.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
13226
15.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
12840
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (HP)
|
99% |
1155
91.7 IPS |
|
|
Object Detection (Q)
|
82% |
1089
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
5201
61.8 IPS |
|
|
Face Detection (Q)
|
97% |
5192
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3302
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4955
38.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3987
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8624
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17656
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17634
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2717
100.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2804
103.9 IPS |
|
|
Text Classification (SP)
|
35% |
37
358.3 IPS |
|
|
Text Classification (HP)
|
35% |
51
466.3 IPS |
|
|
Text Classification (Q)
|
35% |
47
455.4 IPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
97% |
802
13.9 IPS |
|
|
Machine Translation (Q)
|
49% |
289
10.9 IPS |
