Samsung Galaxy S24
Geekbench AI Score
3017
Single Precision Score
17531
Half Precision Score
36111
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 03:40 PM |
| Views | 9 |
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-S921B |
| 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% |
1470
273.3 IPS |
|
|
Image Classification (HP)
|
100% |
12192
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
30617
5.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (HP)
|
97% |
12068
196.3 IPS |
|
|
Image Segmentation (Q)
|
96% |
28502
463.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13708
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
81357
94.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
302378
354.1 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
100% |
12775
1.01 KIPS |
|
|
Object Detection (Q)
|
90% |
21518
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
38224
454.2 IPS |
|
|
Face Detection (Q)
|
97% |
99324
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5320
41.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
52000
412.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
106141
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
15887
20.4 IPS |
|
|
Style Transfer (HP)
|
99% |
160217
206.0 IPS |
|
|
Style Transfer (Q)
|
98% |
270646
349.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3996
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
21353
805.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59550
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
435
580.3 IPS |
|
|
Text Classification (HP)
|
100% |
440
587.3 IPS |
|
|
Text Classification (Q)
|
91% |
708
952.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5993
103.2 IPS |
|
|
Machine Translation (Q)
|
56% |
5521
141.6 IPS |
