Samsung Galaxy S23 Plus
Geekbench AI Score
426
Single Precision Score
427
Half Precision Score
906
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:47 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Plus |
| Model ID | samsung SM-S916W |
| 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% |
259
48.1 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.3 IPS |
|
|
Image Classification (Q)
|
97% |
618
115.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
625
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1731
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
253
20.0 IPS |
|
|
Object Detection (Q)
|
89% |
648
51.9 IPS |
|
|
Face Detection (SP)
|
100% |
623
7.40 IPS |
|
|
Face Detection (HP)
|
100% |
632
7.51 IPS |
|
|
Face Detection (Q)
|
97% |
1282
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
551
4.24 IPS |
|
|
Depth Estimation (HP)
|
100% |
553
4.26 IPS |
|
|
Depth Estimation (Q)
|
73% |
1394
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
898
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2090
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1021
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
372
496.8 IPS |
|
|
Text Classification (HP)
|
100% |
372
497.1 IPS |
|
|
Text Classification (Q)
|
91% |
538
723.0 IPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
420
10.3 IPS |
