Samsung Galaxy S23
Geekbench AI Score
457
Single Precision Score
16526
Half Precision Score
37525
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911B |
| 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% |
302
56.2 IPS |
|
|
Image Classification (HP)
|
100% |
12807
2.38 KIPS |
|
|
Image Classification (Q)
|
97% |
32376
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
7800
126.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21865
355.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
72541
84.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
295631
346.0 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
12305
976.1 IPS |
|
|
Object Detection (Q)
|
86% |
13980
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
684
8.12 IPS |
|
|
Face Detection (HP)
|
100% |
25670
305.0 IPS |
|
|
Face Detection (Q)
|
97% |
91413
1.09 KIPS |
|
|
Depth Estimation (SP)
|
100% |
593
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
45229
348.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
82760
774.9 IPS |
|
|
Style Transfer (SP)
|
100% |
959
1.23 IPS |
|
|
Style Transfer (HP)
|
98% |
60956
78.6 IPS |
|
|
Style Transfer (Q)
|
98% |
294207
379.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32692
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82080
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
369
492.8 IPS |
|
|
Text Classification (HP)
|
100% |
2527
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2916
50.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1840
48.2 IPS |
