Samsung Galaxy S24
Geekbench AI Score
3549
Single Precision Score
25075
Half Precision Score
46770
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 08:46 PM |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
17215
3.20 KIPS |
|
|
Image Classification (Q)
|
100% |
33179
6.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3002
48.7 IPS |
|
|
Image Segmentation (HP)
|
97% |
12636
205.6 IPS |
|
|
Image Segmentation (Q)
|
96% |
28487
463.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14134
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
88108
102.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
301669
353.3 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
13926
1.10 KIPS |
|
|
Object Detection (Q)
|
90% |
23253
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
5023
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
39811
473.0 IPS |
|
|
Face Detection (Q)
|
97% |
100464
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5592
43.1 IPS |
|
|
Depth Estimation (HP)
|
79% |
56373
447.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
105834
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
28918
37.2 IPS |
|
|
Style Transfer (HP)
|
99% |
173736
224.0 IPS |
|
|
Style Transfer (Q)
|
98% |
266716
344.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4184
154.5 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22668
854.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58558
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
685
914.8 IPS |
|
|
Text Classification (HP)
|
100% |
7005
9.35 KIPS |
|
|
Text Classification (Q)
|
93% |
8241
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5947
102.4 IPS |
|
|
Machine Translation (Q)
|
56% |
5520
141.6 IPS |
