Samsung Galaxy S24
Geekbench AI Score
3580
Single Precision Score
12717
Half Precision Score
23001
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 09:00 AM |
| Views | 5 |
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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1678
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
10055
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
26767
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (HP)
|
78% |
7415
124.3 IPS |
|
|
Image Segmentation (Q)
|
95% |
27962
455.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14498
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
84358
98.4 IPS |
|
|
Pose Estimation (Q)
|
78% |
287322
347.4 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
8545
677.8 IPS |
|
|
Object Detection (Q)
|
90% |
12625
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
5171
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
20631
245.1 IPS |
|
|
Face Detection (Q)
|
96% |
56208
670.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
79% |
49591
393.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
75531
699.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29407
37.8 IPS |
|
|
Style Transfer (HP)
|
99% |
150069
192.9 IPS |
|
|
Style Transfer (Q)
|
98% |
247320
319.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4267
157.6 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
16106
607.3 IPS |
|
|
Image Super-Resolution (Q)
|
83% |
30044
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
647
863.1 IPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
92% |
663
890.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1104
19.0 IPS |
|
|
Machine Translation (Q)
|
59% |
730
16.8 IPS |
