Samsung Galaxy S24
Geekbench AI Score
3605
Single Precision Score
25218
Half Precision Score
46931
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 07:07 AM |
| Views | 2 |
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 | 6.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
17306
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
32755
6.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (HP)
|
97% |
12710
206.8 IPS |
|
|
Image Segmentation (Q)
|
96% |
28750
467.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15249
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
86923
101.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
303338
355.2 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
14135
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
24246
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
5202
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
40285
478.7 IPS |
|
|
Face Detection (Q)
|
97% |
101278
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5698
43.9 IPS |
|
|
Depth Estimation (HP)
|
79% |
56994
452.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
106798
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29821
38.3 IPS |
|
|
Style Transfer (HP)
|
99% |
171006
220.5 IPS |
|
|
Style Transfer (Q)
|
98% |
258448
333.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4243
156.7 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22936
862.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59292
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
637
849.8 IPS |
|
|
Text Classification (HP)
|
100% |
7007
9.35 KIPS |
|
|
Text Classification (Q)
|
93% |
8153
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6101
105.1 IPS |
|
|
Machine Translation (Q)
|
56% |
5539
142.1 IPS |
