Samsung Galaxy S23
Geekbench AI Score
946
Single Precision Score
1383
Half Precision Score
1152
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 05:54 AM |
| 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-S911N |
| 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% |
663
123.2 IPS |
|
|
Image Classification (HP)
|
100% |
1119
208.2 IPS |
|
|
Image Classification (Q)
|
96% |
857
160.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1080
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
984
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1429
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1421
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
796
63.1 IPS |
|
|
Object Detection (Q)
|
87% |
859
69.0 IPS |
|
|
Face Detection (SP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (Q)
|
97% |
1584
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1480
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2742
21.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2246
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3850
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
8675
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8303
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
345
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
448
598.5 IPS |
|
|
Text Classification (HP)
|
100% |
449
599.3 IPS |
|
|
Text Classification (Q)
|
91% |
697
936.6 IPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
513
12.5 IPS |
