Samsung Galaxy S24
Geekbench AI Score
475
Single Precision Score
468
Half Precision Score
1097
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | August 27 2024 11:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921W |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
307
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.8 IPS |
|
|
Image Classification (Q)
|
97% |
766
142.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1869
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
89% |
814
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
690
8.20 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (Q)
|
97% |
1588
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
598
4.60 IPS |
|
|
Depth Estimation (HP)
|
100% |
596
4.59 IPS |
|
|
Depth Estimation (Q)
|
73% |
1625
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
965
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
968
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
2424
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1113
41.2 IPS |
|
|
Text Classification (SP)
|
100% |
428
570.8 IPS |
|
|
Text Classification (HP)
|
100% |
437
583.9 IPS |
|
|
Text Classification (Q)
|
91% |
722
970.6 IPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
565
13.8 IPS |
