Samsung Galaxy S24
Geekbench AI Score
3114
Single Precision Score
24820
Half Precision Score
46229
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 09:49 AM |
| Views | 1 |
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-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% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
16791
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
32124
5.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (HP)
|
97% |
12602
205.0 IPS |
|
|
Image Segmentation (Q)
|
96% |
28257
459.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12960
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
87433
102.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
299947
351.2 IPS |
|
|
Object Detection (SP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (HP)
|
100% |
13931
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23403
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4686
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
38635
459.1 IPS |
|
|
Face Detection (Q)
|
97% |
96246
1.15 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5255
40.5 IPS |
|
|
Depth Estimation (HP)
|
79% |
56567
449.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
106350
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
25337
32.6 IPS |
|
|
Style Transfer (HP)
|
99% |
172668
222.0 IPS |
|
|
Style Transfer (Q)
|
98% |
269714
347.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3905
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22735
856.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58570
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
542
724.0 IPS |
|
|
Text Classification (HP)
|
100% |
6662
8.89 KIPS |
|
|
Text Classification (Q)
|
93% |
7951
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6023
103.7 IPS |
|
|
Machine Translation (Q)
|
56% |
5443
139.6 IPS |
