Samsung Galaxy S24
Geekbench AI Score
3607
Single Precision Score
24982
Half Precision Score
46709
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 04 2024 06:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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 | 6.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
17150
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
33039
6.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3109
50.4 IPS |
|
|
Image Segmentation (HP)
|
97% |
12677
206.2 IPS |
|
|
Image Segmentation (Q)
|
96% |
28679
466.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15235
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
87341
101.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
302762
354.5 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
13999
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23864
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5205
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
39827
473.2 IPS |
|
|
Face Detection (Q)
|
97% |
100263
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5738
44.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
56905
451.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
106374
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29973
38.5 IPS |
|
|
Style Transfer (HP)
|
99% |
172078
221.9 IPS |
|
|
Style Transfer (Q)
|
98% |
265035
341.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4217
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22643
852.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58092
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
642
857.1 IPS |
|
|
Text Classification (HP)
|
100% |
6605
8.82 KIPS |
|
|
Text Classification (Q)
|
93% |
8030
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6107
105.2 IPS |
|
|
Machine Translation (Q)
|
56% |
5477
140.5 IPS |
