Samsung Galaxy S24+
Geekbench AI Score
3518
Single Precision Score
25038
Half Precision Score
47084
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 09:46 AM |
| 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-S926B |
| 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 | 10.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1591
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
17081
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
32706
6.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3071
49.8 IPS |
|
|
Image Segmentation (HP)
|
97% |
12210
198.6 IPS |
|
|
Image Segmentation (Q)
|
96% |
27959
455.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14819
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
87834
102.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
300648
352.1 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
13996
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
24054
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4930
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
40406
480.1 IPS |
|
|
Face Detection (Q)
|
97% |
101412
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5570
42.9 IPS |
|
|
Depth Estimation (HP)
|
79% |
56212
446.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
104802
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
28855
37.1 IPS |
|
|
Style Transfer (HP)
|
99% |
171189
220.1 IPS |
|
|
Style Transfer (Q)
|
98% |
277253
357.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4063
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22745
857.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59648
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
636
848.9 IPS |
|
|
Text Classification (HP)
|
100% |
6880
9.18 KIPS |
|
|
Text Classification (Q)
|
93% |
8194
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6209
107.0 IPS |
|
|
Machine Translation (Q)
|
56% |
5623
144.2 IPS |
