Samsung Galaxy S23
Geekbench AI Score
791
Single Precision Score
664
Half Precision Score
1348
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 10 2024 11:52 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% |
940
174.9 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.2 IPS |
|
|
Image Classification (Q)
|
100% |
1386
257.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1533
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2065
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1484
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
2758
3.27 IPS |
|
|
Object Detection (SP)
|
98% |
644
51.2 IPS |
|
|
Object Detection (HP)
|
98% |
341
27.1 IPS |
|
|
Object Detection (Q)
|
83% |
840
67.8 IPS |
|
|
Face Detection (SP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
942
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
1886
22.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1121
8.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
2064
18.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2002
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2302
2.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4983
6.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1444
53.5 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.2 IPS |
|
|
Text Classification (HP)
|
99% |
215
287.5 IPS |
|
|
Text Classification (Q)
|
88% |
451
607.8 IPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
