Samsung Galaxy S24
Geekbench AI Score
461
Single Precision Score
16181
Half Precision Score
39522
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | September 06 2024 03:33 PM |
| Views | 19 |
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% |
302
56.2 IPS |
|
|
Image Classification (HP)
|
100% |
17471
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
42904
8.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
10741
174.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
29029
472.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
97662
114.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
398402
466.3 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
16208
1.29 KIPS |
|
|
Object Detection (Q)
|
86% |
19223
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (HP)
|
100% |
35506
421.9 IPS |
|
|
Face Detection (Q)
|
97% |
126795
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
581
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
61566
474.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
116207
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
932
1.20 IPS |
|
|
Style Transfer (HP)
|
24% |
3857
116.7 IPS |
|
|
Style Transfer (Q)
|
98% |
306102
394.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44425
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
111653
4.14 KIPS |
|
|
Text Classification (SP)
|
100% |
418
558.2 IPS |
|
|
Text Classification (HP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6770
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3562
61.4 IPS |
|
|
Machine Translation (Q)
|
30% |
286
57.5 IPS |
