Samsung Galaxy S24
Geekbench AI Score
3564
Single Precision Score
25056
Half Precision Score
46796
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Acux6 |
| Upload Date | November 29 2025 01:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1620
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
17163
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
32581
6.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (HP)
|
97% |
12552
204.2 IPS |
|
|
Image Segmentation (Q)
|
96% |
28319
460.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14117
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
88077
102.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
302657
354.4 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
14031
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23558
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
5087
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
39396
468.1 IPS |
|
|
Face Detection (Q)
|
97% |
99074
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5635
43.4 IPS |
|
|
Depth Estimation (HP)
|
79% |
56559
449.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
106125
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29490
37.9 IPS |
|
|
Style Transfer (HP)
|
99% |
172401
221.6 IPS |
|
|
Style Transfer (Q)
|
98% |
269997
348.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4235
156.4 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22788
857.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59429
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
660
881.4 IPS |
|
|
Text Classification (HP)
|
100% |
6872
9.17 KIPS |
|
|
Text Classification (Q)
|
93% |
8127
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6090
104.9 IPS |
|
|
Machine Translation (Q)
|
56% |
5584
143.2 IPS |
