Samsung Galaxy S23
Geekbench AI Score
1806
Single Precision Score
1831
Half Precision Score
2888
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 08 2025 01:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (Q)
|
100% |
2265
421.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2880
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2520
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2613
3.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
6033
7.15 IPS |
|
|
Object Detection (SP)
|
98% |
1539
122.5 IPS |
|
|
Object Detection (HP)
|
98% |
1550
123.3 IPS |
|
|
Object Detection (Q)
|
83% |
2310
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
4554
54.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2959
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2577
19.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4148
38.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6060
7.87 IPS |
|
|
Style Transfer (HP)
|
89% |
6098
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
11236
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1316
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2835
105.0 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.7 IPS |
|
|
Text Classification (HP)
|
99% |
530
707.8 IPS |
|
|
Text Classification (Q)
|
88% |
1236
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
598
21.2 IPS |
