Samsung Galaxy S24
Geekbench AI Score
3606
Single Precision Score
25358
Half Precision Score
47184
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 10:05 AM |
| Views | 4 |
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 | 6.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1623
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
17308
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
33128
6.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3086
50.0 IPS |
|
|
Image Segmentation (HP)
|
97% |
12696
206.5 IPS |
|
|
Image Segmentation (Q)
|
96% |
28711
467.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15284
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
88093
102.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
302960
354.8 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
14000
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23921
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5196
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
40363
479.6 IPS |
|
|
Face Detection (Q)
|
97% |
101525
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5735
44.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
56874
451.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
106198
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29789
38.3 IPS |
|
|
Style Transfer (HP)
|
99% |
174922
224.9 IPS |
|
|
Style Transfer (Q)
|
98% |
266968
344.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4209
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
84% |
23008
864.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59655
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
645
860.9 IPS |
|
|
Text Classification (HP)
|
100% |
7144
9.53 KIPS |
|
|
Text Classification (Q)
|
93% |
8169
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6148
105.9 IPS |
|
|
Machine Translation (Q)
|
56% |
5658
145.1 IPS |
