Samsung Galaxy S24+
Geekbench AI Score
3499
Single Precision Score
24990
Half Precision Score
47138
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 05:14 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926B |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
17028
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
32850
6.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (HP)
|
97% |
12238
199.1 IPS |
|
|
Image Segmentation (Q)
|
96% |
28345
461.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14422
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
87405
102.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
302638
354.4 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
14057
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23412
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
40037
475.7 IPS |
|
|
Face Detection (Q)
|
97% |
101277
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5544
42.7 IPS |
|
|
Depth Estimation (HP)
|
79% |
56356
447.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
106797
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
28546
36.7 IPS |
|
|
Style Transfer (HP)
|
99% |
170748
220.1 IPS |
|
|
Style Transfer (Q)
|
98% |
266630
343.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4025
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22599
851.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59754
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
623
831.9 IPS |
|
|
Text Classification (HP)
|
100% |
6953
9.28 KIPS |
|
|
Text Classification (Q)
|
93% |
8449
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6129
105.6 IPS |
|
|
Machine Translation (Q)
|
56% |
5639
144.6 IPS |
