Samsung Galaxy S23
Geekbench AI Score
1251
Single Precision Score
1263
Half Precision Score
1884
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Heftiness-Splendor |
| Upload Date | August 18 2024 06:37 AM |
| Views | 9 |
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-S911W |
| 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% |
845
157.1 IPS |
|
|
Image Classification (HP)
|
100% |
933
173.4 IPS |
|
|
Image Classification (Q)
|
100% |
1493
277.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1734
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2052
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2037
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
4354
5.16 IPS |
|
|
Object Detection (SP)
|
98% |
1014
80.7 IPS |
|
|
Object Detection (HP)
|
98% |
1009
80.3 IPS |
|
|
Object Detection (Q)
|
87% |
1466
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2014
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2046
24.3 IPS |
|
|
Face Detection (Q)
|
95% |
3116
37.2 IPS |
|
|
Depth Estimation (SP)
|
98% |
1976
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1849
14.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
3010
24.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4123
5.35 IPS |
|
|
Style Transfer (HP)
|
89% |
4131
5.36 IPS |
|
|
Style Transfer (Q)
|
98% |
7123
9.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1838
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
361
481.2 IPS |
|
|
Text Classification (HP)
|
99% |
365
487.1 IPS |
|
|
Text Classification (Q)
|
88% |
616
830.4 IPS |
|
|
Machine Translation (SP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (Q)
|
50% |
452
16.1 IPS |
