Samsung Galaxy S24
Geekbench AI Score
1925
Single Precision Score
1873
Half Precision Score
2718
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | September 06 2024 03:38 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.4 IPS |
|
|
Image Classification (Q)
|
100% |
3042
565.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4121
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3816
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3599
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
5207
6.18 IPS |
|
|
Object Detection (SP)
|
98% |
1282
102.0 IPS |
|
|
Object Detection (HP)
|
98% |
1263
100.5 IPS |
|
|
Object Detection (Q)
|
83% |
1752
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
2525
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (Q)
|
95% |
3735
44.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2579
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2587
20.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3946
36.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6416
8.33 IPS |
|
|
Style Transfer (HP)
|
89% |
6432
8.35 IPS |
|
|
Style Transfer (Q)
|
98% |
11577
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1280
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2800
103.7 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.6 IPS |
|
|
Text Classification (HP)
|
99% |
509
679.1 IPS |
|
|
Text Classification (Q)
|
88% |
728
982.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
555
19.7 IPS |
