Samsung Galaxy S24+
Geekbench AI Score
2903
Single Precision Score
11356
Half Precision Score
22643
Quantized Score
Geekbench AI 1.1.0-Beta2 Corporate for Android AArch64
Result Information
| User | wudi890 |
| Upload Date | November 04 2024 06:47 PM |
| Views | 16 |
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% |
1432
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
8668
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
26753
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
78% |
7411
124.2 IPS |
|
|
Image Segmentation (Q)
|
95% |
27441
446.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13407
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
84908
99.1 IPS |
|
|
Pose Estimation (Q)
|
78% |
287052
347.1 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
7584
601.6 IPS |
|
|
Object Detection (Q)
|
90% |
12609
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
3875
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
20636
245.2 IPS |
|
|
Face Detection (Q)
|
96% |
53775
641.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5060
39.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
45799
363.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
77756
720.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15104
19.4 IPS |
|
|
Style Transfer (HP)
|
99% |
149481
192.2 IPS |
|
|
Style Transfer (Q)
|
98% |
248590
320.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3874
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
81% |
15715
594.4 IPS |
|
|
Image Super-Resolution (Q)
|
83% |
29367
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
430
573.9 IPS |
|
|
Text Classification (HP)
|
100% |
433
577.4 IPS |
|
|
Text Classification (Q)
|
91% |
700
940.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
99% |
897
15.4 IPS |
|
|
Machine Translation (Q)
|
59% |
624
14.4 IPS |
