Samsung Galaxy S23
Geekbench AI Score
1740
Single Precision Score
1796
Half Precision Score
2726
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 08:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1494
277.9 IPS |
|
|
Image Classification (HP)
|
100% |
1671
310.8 IPS |
|
|
Image Classification (Q)
|
100% |
2568
477.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2801
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2485
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2708
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
6235
7.39 IPS |
|
|
Object Detection (SP)
|
98% |
1411
112.3 IPS |
|
|
Object Detection (HP)
|
98% |
1408
112.0 IPS |
|
|
Object Detection (Q)
|
83% |
1810
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (Q)
|
95% |
3982
47.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2640
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2345
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4152
38.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6034
7.83 IPS |
|
|
Style Transfer (HP)
|
89% |
6144
7.98 IPS |
|
|
Style Transfer (Q)
|
98% |
11093
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2802
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
527
703.2 IPS |
|
|
Text Classification (HP)
|
99% |
531
708.9 IPS |
|
|
Text Classification (Q)
|
88% |
889
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
612
21.7 IPS |
