Samsung Galaxy S24+
Geekbench AI Score
3521
Single Precision Score
12451
Half Precision Score
22273
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 10 2024 04:33 AM |
| Views | 26 |
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% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
9696
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
24917
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3078
49.9 IPS |
|
|
Image Segmentation (HP)
|
78% |
7285
122.1 IPS |
|
|
Image Segmentation (Q)
|
95% |
27297
444.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14667
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
83097
97.0 IPS |
|
|
Pose Estimation (Q)
|
78% |
284956
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
7876
624.8 IPS |
|
|
Object Detection (Q)
|
90% |
12595
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
5106
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
20632
245.2 IPS |
|
|
Face Detection (Q)
|
96% |
50598
603.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5685
43.8 IPS |
|
|
Depth Estimation (HP)
|
79% |
49482
393.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
76060
704.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29007
37.3 IPS |
|
|
Style Transfer (HP)
|
99% |
147189
189.2 IPS |
|
|
Style Transfer (Q)
|
98% |
240667
310.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
15982
603.2 IPS |
|
|
Image Super-Resolution (Q)
|
83% |
29858
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
634
846.7 IPS |
|
|
Text Classification (HP)
|
100% |
719
960.1 IPS |
|
|
Text Classification (Q)
|
92% |
621
834.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1122
19.3 IPS |
|
|
Machine Translation (Q)
|
59% |
717
16.5 IPS |
