Samsung Galaxy S24+
Geekbench AI Score
2118
Single Precision Score
2313
Half Precision Score
3358
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Tophermori |
| Upload Date | August 28 2024 07:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926W |
| 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.4 IPS |
|
|
Image Classification (HP)
|
100% |
2252
418.9 IPS |
|
|
Image Classification (Q)
|
100% |
3684
685.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4133
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3661
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3733
4.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6348
7.53 IPS |
|
|
Object Detection (SP)
|
98% |
1371
109.1 IPS |
|
|
Object Detection (HP)
|
98% |
1698
135.1 IPS |
|
|
Object Detection (Q)
|
87% |
2453
197.0 IPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (Q)
|
95% |
5384
64.3 IPS |
|
|
Depth Estimation (SP)
|
98% |
3321
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3188
24.6 IPS |
|
|
Depth Estimation (Q)
|
75% |
6135
49.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8275
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8274
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15733
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3985
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.4 IPS |
|
|
Text Classification (HP)
|
99% |
720
961.6 IPS |
|
|
Text Classification (Q)
|
88% |
561
756.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (Q)
|
50% |
662
23.5 IPS |
