Samsung Galaxy S24+
Geekbench AI Score
2061
Single Precision Score
3151
Half Precision Score
2461
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 06:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926U1 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (Q)
|
100% |
1900
353.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5138
83.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4094
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10936
12.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
19363
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
19152
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
99% |
1642
130.3 IPS |
|
|
Object Detection (Q)
|
87% |
1552
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
4253
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
6879
81.7 IPS |
|
|
Face Detection (Q)
|
97% |
5486
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5038
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7515
58.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
5738
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12453
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24065
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24373
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2438
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3893
144.3 IPS |
|
|
Text Classification (SP)
|
35% |
48
469.9 IPS |
|
|
Text Classification (HP)
|
35% |
70
639.6 IPS |
|
|
Text Classification (Q)
|
33% |
56
667.8 IPS |
|
|
Machine Translation (SP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (HP)
|
97% |
796
13.8 IPS |
|
|
Machine Translation (Q)
|
43% |
211
12.0 IPS |
