Samsung Galaxy S23
Geekbench AI Score
503
Single Precision Score
711
Half Precision Score
690
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Heftiness-Splendor |
| Upload Date | August 18 2024 06:33 AM |
| Views | 5 |
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 |
| Model ID | samsung SM-S911W |
| 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% |
571
106.1 IPS |
|
|
Image Classification (HP)
|
100% |
934
173.8 IPS |
|
|
Image Classification (Q)
|
99% |
814
151.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
986
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
649
0.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
692
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (Q)
|
89% |
387
31.0 IPS |
|
|
Face Detection (SP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1529
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
628
4.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
1220
9.40 IPS |
|
|
Depth Estimation (Q)
|
74% |
1144
9.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1593
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
3603
4.63 IPS |
|
|
Style Transfer (Q)
|
98% |
3596
4.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
173
6.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
168
6.23 IPS |
|
|
Text Classification (SP)
|
100% |
276
367.8 IPS |
|
|
Text Classification (HP)
|
100% |
276
368.3 IPS |
|
|
Text Classification (Q)
|
91% |
400
538.2 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.28 IPS |
|
|
Machine Translation (Q)
|
57% |
273
6.67 IPS |
