Samsung Galaxy S24
Geekbench AI Score
2729
Single Precision Score
2720
Half Precision Score
4171
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2313
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (Q)
|
100% |
3276
609.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3943
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4141
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4015
4.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
8841
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
2041
162.4 IPS |
|
|
Object Detection (HP)
|
98% |
2045
162.7 IPS |
|
|
Object Detection (Q)
|
83% |
3035
245.2 IPS |
|
|
Face Detection (SP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (Q)
|
95% |
7209
86.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3936
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3937
30.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6567
60.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9749
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9635
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19040
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2145
79.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4847
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
856
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
1209
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (Q)
|
50% |
871
30.9 IPS |
