Samsung Galaxy S23
Geekbench AI Score
827
Single Precision Score
660
Half Precision Score
1333
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | April 15 2025 10:19 PM |
| 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% |
969
180.2 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.0 IPS |
|
|
Image Classification (Q)
|
100% |
1413
262.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1264
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1371
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1550
1.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
2664
3.16 IPS |
|
|
Object Detection (SP)
|
98% |
607
48.3 IPS |
|
|
Object Detection (HP)
|
98% |
288
22.9 IPS |
|
|
Object Detection (Q)
|
87% |
1076
86.4 IPS |
|
|
Face Detection (SP)
|
100% |
948
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
901
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
1900
22.7 IPS |
|
|
Depth Estimation (SP)
|
98% |
1158
8.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
965
7.46 IPS |
|
|
Depth Estimation (Q)
|
75% |
2256
18.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2231
2.90 IPS |
|
|
Style Transfer (HP)
|
89% |
2866
3.72 IPS |
|
|
Style Transfer (Q)
|
98% |
5149
6.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1150
42.6 IPS |
|
|
Text Classification (SP)
|
100% |
251
334.4 IPS |
|
|
Text Classification (HP)
|
99% |
263
351.2 IPS |
|
|
Text Classification (Q)
|
88% |
451
608.6 IPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
304
10.8 IPS |
