Samsung Galaxy S23 Plus
Geekbench AI Score
850
Single Precision Score
1133
Half Precision Score
1039
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 09:44 PM |
| Views | 1 |
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-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% |
664
123.5 IPS |
|
|
Image Classification (HP)
|
100% |
859
159.7 IPS |
|
|
Image Classification (Q)
|
96% |
810
151.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1077
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
968
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1412
1.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1423
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (Q)
|
87% |
792
63.6 IPS |
|
|
Face Detection (SP)
|
100% |
2121
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (Q)
|
97% |
1707
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1491
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2884
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2382
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3839
4.94 IPS |
|
|
Style Transfer (HP)
|
100% |
8658
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8209
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
367
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.3 IPS |
|
|
Text Classification (HP)
|
100% |
225
299.7 IPS |
|
|
Text Classification (Q)
|
91% |
374
502.5 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (Q)
|
57% |
328
8.01 IPS |
