Samsung Galaxy S24+
Geekbench AI Score
2922
Single Precision Score
11364
Half Precision Score
22763
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | wudi890 |
| Upload Date | September 09 2024 08:45 PM |
| Views | 29 |
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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
8636
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
26326
4.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
78% |
7343
123.0 IPS |
|
|
Image Segmentation (Q)
|
95% |
27617
449.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13793
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
84406
98.5 IPS |
|
|
Pose Estimation (Q)
|
78% |
286027
345.8 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
7510
595.7 IPS |
|
|
Object Detection (Q)
|
90% |
12520
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
20972
249.2 IPS |
|
|
Face Detection (Q)
|
96% |
53063
633.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5133
39.5 IPS |
|
|
Depth Estimation (HP)
|
79% |
45994
365.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
80471
745.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14644
18.8 IPS |
|
|
Style Transfer (HP)
|
99% |
140654
180.8 IPS |
|
|
Style Transfer (Q)
|
98% |
244843
315.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
15720
593.3 IPS |
|
|
Image Super-Resolution (Q)
|
83% |
29573
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
464
618.7 IPS |
|
|
Text Classification (HP)
|
100% |
457
609.7 IPS |
|
|
Text Classification (Q)
|
91% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
99% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
59% |
623
14.3 IPS |
