Samsung Galaxy S23 Plus
Geekbench AI Score
1562
Single Precision Score
1597
Half Precision Score
2362
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 04:45 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 Plus |
| Model ID | samsung SM-S916U1 |
| 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% |
1758
326.9 IPS |
|
|
Image Classification (HP)
|
100% |
1761
327.6 IPS |
|
|
Image Classification (Q)
|
100% |
2592
482.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2978
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3062
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2260
2.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
4767
5.65 IPS |
|
|
Object Detection (SP)
|
98% |
1116
88.8 IPS |
|
|
Object Detection (HP)
|
98% |
1116
88.8 IPS |
|
|
Object Detection (Q)
|
83% |
1559
125.9 IPS |
|
|
Face Detection (SP)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2145
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
3406
40.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1611
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2126
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3069
28.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4704
6.11 IPS |
|
|
Style Transfer (HP)
|
89% |
5310
6.89 IPS |
|
|
Style Transfer (Q)
|
98% |
9086
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2414
89.5 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.1 IPS |
|
|
Text Classification (HP)
|
99% |
449
598.9 IPS |
|
|
Text Classification (Q)
|
88% |
769
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
535
19.0 IPS |
