Samsung Galaxy S23
Geekbench AI Score
993
Single Precision Score
1254
Half Precision Score
1228
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 02:01 PM |
| Views | 2 |
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% |
674
125.4 IPS |
|
|
Image Classification (HP)
|
100% |
861
160.2 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1091
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1432
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
87% |
884
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2205
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1524
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2945
22.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2445
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3886
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
8584
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8733
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
373
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.5 IPS |
|
|
Text Classification (HP)
|
100% |
456
608.1 IPS |
|
|
Text Classification (Q)
|
91% |
644
865.1 IPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
508
12.4 IPS |
