Samsung Galaxy S24
Geekbench AI Score
1376
Single Precision Score
1597
Half Precision Score
1572
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 09:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921B |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
585
108.7 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.5 IPS |
|
|
Image Classification (Q)
|
99% |
649
121.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1741
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3513
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3658
4.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
3350
3.92 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.1 IPS |
|
|
Object Detection (HP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (Q)
|
86% |
784
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
2849
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (Q)
|
97% |
2310
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3072
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3430
26.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3426
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9066
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11784
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13051
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2018
74.8 IPS |
|
|
Text Classification (SP)
|
100% |
232
310.2 IPS |
|
|
Text Classification (HP)
|
100% |
233
310.3 IPS |
|
|
Text Classification (Q)
|
91% |
362
486.3 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.28 IPS |
|
|
Machine Translation (Q)
|
57% |
413
10.1 IPS |
