Samsung Galaxy S24
Geekbench AI Score
3616
Single Precision Score
25140
Half Precision Score
47386
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 10 2024 01:06 PM |
| Views | 2 |
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% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
17148
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
33189
6.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3107
50.4 IPS |
|
|
Image Segmentation (HP)
|
97% |
12648
205.8 IPS |
|
|
Image Segmentation (Q)
|
96% |
28593
465.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15227
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
88248
103.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
302870
354.7 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
14022
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
24005
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5196
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
39945
474.6 IPS |
|
|
Face Detection (Q)
|
97% |
101371
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5705
44.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
56833
451.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
105760
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
30006
38.6 IPS |
|
|
Style Transfer (HP)
|
99% |
171810
220.9 IPS |
|
|
Style Transfer (Q)
|
98% |
275643
355.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4209
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22824
858.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59480
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
649
866.0 IPS |
|
|
Text Classification (HP)
|
100% |
6986
9.33 KIPS |
|
|
Text Classification (Q)
|
93% |
8317
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6042
104.1 IPS |
|
|
Machine Translation (Q)
|
56% |
5660
145.2 IPS |
