Samsung Galaxy S23 Plus
Geekbench AI Score
788
Single Precision Score
1078
Half Precision Score
1012
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Plus |
| Model ID | samsung SM-S916N |
| 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% |
570
105.9 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.3 IPS |
|
|
Image Classification (Q)
|
96% |
533
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1049
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
706
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1142
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
87% |
698
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (Q)
|
97% |
2642
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1254
9.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
2461
19.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1992
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3214
4.13 IPS |
|
|
Style Transfer (HP)
|
100% |
7437
9.56 IPS |
|
|
Style Transfer (Q)
|
98% |
7370
9.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
224
8.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
218
8.07 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.3 IPS |
|
|
Text Classification (HP)
|
100% |
437
583.3 IPS |
|
|
Text Classification (Q)
|
91% |
618
831.3 IPS |
|
|
Machine Translation (SP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
486
11.9 IPS |
