Samsung Galaxy S23 Plus
Geekbench AI Score
412
Single Precision Score
403
Half Precision Score
857
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:44 AM |
| Views | 7 |
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-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% |
286
53.1 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
99% |
694
129.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
727
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
1574
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (Q)
|
87% |
617
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
590
7.01 IPS |
|
|
Face Detection (HP)
|
100% |
594
7.06 IPS |
|
|
Face Detection (Q)
|
97% |
1206
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
516
3.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
1172
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
756
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
691
0.89 IPS |
|
|
Style Transfer (Q)
|
98% |
1732
2.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
251
9.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
265
9.79 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
940
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
336
447.9 IPS |
|
|
Text Classification (HP)
|
100% |
336
448.3 IPS |
|
|
Text Classification (Q)
|
91% |
484
651.1 IPS |
|
|
Machine Translation (SP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (Q)
|
57% |
393
9.61 IPS |
