Samsung Galaxy S24+
Geekbench AI Score
2169
Single Precision Score
24704
Half Precision Score
46805
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 06:37 AM |
| Views | 1 |
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-S926N |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
775
144.1 IPS |
|
|
Image Classification (HP)
|
100% |
15908
2.96 KIPS |
|
|
Image Classification (Q)
|
100% |
32074
5.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
97% |
12392
201.6 IPS |
|
|
Image Segmentation (Q)
|
96% |
27722
451.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7073
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
87025
101.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
301585
353.2 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
13880
1.10 KIPS |
|
|
Object Detection (Q)
|
90% |
23562
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
2814
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
39297
466.9 IPS |
|
|
Face Detection (Q)
|
97% |
101108
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
2614
20.1 IPS |
|
|
Depth Estimation (HP)
|
79% |
55428
440.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
105192
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
17750
22.8 IPS |
|
|
Style Transfer (HP)
|
99% |
170681
219.4 IPS |
|
|
Style Transfer (Q)
|
98% |
272350
351.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2295
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22488
847.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58707
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
638
851.7 IPS |
|
|
Text Classification (HP)
|
100% |
7035
9.39 KIPS |
|
|
Text Classification (Q)
|
93% |
8479
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6047
104.2 IPS |
|
|
Machine Translation (Q)
|
56% |
5539
142.1 IPS |
