Samsung Galaxy S23 Plus
Geekbench AI Score
903
Single Precision Score
820
Half Precision Score
1375
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 07:06 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 Plus |
| Model ID | samsung SM-S916B |
| 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% |
1017
189.2 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.7 IPS |
|
|
Image Classification (Q)
|
100% |
1075
199.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
1356
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2030
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1659
1.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
2311
2.74 IPS |
|
|
Object Detection (SP)
|
98% |
558
44.4 IPS |
|
|
Object Detection (HP)
|
98% |
357
28.4 IPS |
|
|
Object Detection (Q)
|
87% |
952
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
1945
23.2 IPS |
|
|
Depth Estimation (SP)
|
98% |
1874
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1579
12.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
2438
19.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2122
2.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2577
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
5759
7.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1437
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
239
318.4 IPS |
|
|
Text Classification (HP)
|
99% |
253
337.8 IPS |
|
|
Text Classification (Q)
|
88% |
530
715.0 IPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
