Samsung Galaxy S24+
Geekbench AI Score
2249
Single Precision Score
2213
Half Precision Score
3315
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Veennful |
| Upload Date | November 13 2024 01:03 AM |
| Views | 11 |
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-S926U |
| 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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (Q)
|
100% |
3160
587.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4232
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3853
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3723
4.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
8977
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
2080
165.6 IPS |
|
|
Object Detection (HP)
|
98% |
2068
164.6 IPS |
|
|
Object Detection (Q)
|
83% |
3068
247.8 IPS |
|
|
Face Detection (SP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (Q)
|
95% |
5387
64.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2902
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2731
21.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4238
38.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6812
8.84 IPS |
|
|
Style Transfer (HP)
|
89% |
6767
8.78 IPS |
|
|
Style Transfer (Q)
|
98% |
12700
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1446
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3100
114.9 IPS |
|
|
Text Classification (SP)
|
100% |
599
799.9 IPS |
|
|
Text Classification (HP)
|
99% |
594
793.1 IPS |
|
|
Text Classification (Q)
|
88% |
820
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
592
21.0 IPS |
