Samsung Galaxy S24+
Geekbench AI Score
2123
Single Precision Score
2135
Half Precision Score
2960
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 06:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926N |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1641
305.2 IPS |
|
|
Image Classification (HP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (Q)
|
100% |
2255
419.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2805
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3833
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3551
4.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
6823
8.09 IPS |
|
|
Object Detection (SP)
|
98% |
1421
113.1 IPS |
|
|
Object Detection (HP)
|
98% |
1556
123.8 IPS |
|
|
Object Detection (Q)
|
83% |
1984
160.3 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (Q)
|
95% |
4640
55.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3163
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3220
24.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4764
43.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7756
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7782
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14283
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3445
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
585
780.5 IPS |
|
|
Text Classification (HP)
|
99% |
625
834.8 IPS |
|
|
Text Classification (Q)
|
88% |
881
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1425
24.6 IPS |
|
|
Machine Translation (Q)
|
50% |
631
22.4 IPS |
