Samsung Galaxy S24
Geekbench AI Score
3572
Single Precision Score
25172
Half Precision Score
46935
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 08:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921N |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
17279
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
32946
6.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3056
49.5 IPS |
|
|
Image Segmentation (HP)
|
97% |
12520
203.7 IPS |
|
|
Image Segmentation (Q)
|
96% |
28453
463.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14086
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
88211
102.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
301028
352.5 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
14071
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23643
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
5087
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
39078
464.3 IPS |
|
|
Face Detection (Q)
|
97% |
99111
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5657
43.6 IPS |
|
|
Depth Estimation (HP)
|
79% |
56597
449.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
106467
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
30194
38.8 IPS |
|
|
Style Transfer (HP)
|
99% |
172409
221.6 IPS |
|
|
Style Transfer (Q)
|
98% |
258520
333.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4248
156.8 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22861
860.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
60022
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
655
873.6 IPS |
|
|
Text Classification (HP)
|
100% |
7061
9.42 KIPS |
|
|
Text Classification (Q)
|
93% |
8464
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6180
106.4 IPS |
|
|
Machine Translation (Q)
|
56% |
5611
143.9 IPS |
