Samsung Galaxy S24
Geekbench AI Score
2484
Single Precision Score
2466
Half Precision Score
3767
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 02:05 PM |
| 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% |
1830
340.3 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.5 IPS |
|
|
Image Classification (Q)
|
100% |
3203
595.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3926
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3839
4.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
7926
9.40 IPS |
|
|
Object Detection (SP)
|
98% |
1567
124.7 IPS |
|
|
Object Detection (HP)
|
98% |
1587
126.3 IPS |
|
|
Object Detection (Q)
|
83% |
2282
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
3783
45.0 IPS |
|
|
Face Detection (Q)
|
95% |
6453
77.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4101
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4080
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6461
59.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9825
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9714
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18619
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2049
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2000
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4371
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
647
863.6 IPS |
|
|
Text Classification (HP)
|
99% |
607
809.6 IPS |
|
|
Text Classification (Q)
|
88% |
1010
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
740
26.3 IPS |
