Samsung Galaxy S23
Geekbench AI Score
835
Single Precision Score
1033
Half Precision Score
1069
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 10:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
635
118.2 IPS |
|
|
Image Classification (HP)
|
100% |
903
167.9 IPS |
|
|
Image Classification (Q)
|
96% |
993
185.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1138
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1423
1.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1404
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
481
38.1 IPS |
|
|
Object Detection (HP)
|
100% |
579
46.0 IPS |
|
|
Object Detection (Q)
|
87% |
789
63.3 IPS |
|
|
Face Detection (SP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
1830
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
1720
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1496
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2874
22.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2375
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3858
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8659
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8623
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
363
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.5 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.9 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.8 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.03 IPS |
