Samsung Galaxy S24
Geekbench AI Score
1135
Single Precision Score
1625
Half Precision Score
1599
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | HurricanePootis |
| Upload Date | September 07 2024 06:00 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921U |
| 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% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
704
130.9 IPS |
|
|
Image Classification (Q)
|
96% |
672
125.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1101
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2745
3.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
2721
3.19 IPS |
|
|
Object Detection (SP)
|
100% |
709
56.3 IPS |
|
|
Object Detection (HP)
|
100% |
1017
80.7 IPS |
|
|
Object Detection (Q)
|
87% |
758
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
2324
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
3181
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1896
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4004
30.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3322
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7374
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
11887
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11715
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1366
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.6 IPS |
|
|
Text Classification (HP)
|
100% |
450
601.1 IPS |
|
|
Text Classification (Q)
|
91% |
733
984.7 IPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
581
14.2 IPS |
