Samsung Galaxy S24
Geekbench AI Score
2854
Single Precision Score
2860
Half Precision Score
4600
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:41 AM |
| Views | 8 |
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-S921W |
| 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 | 6.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2327
432.8 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
100% |
3838
713.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2624
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4337
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4235
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4121
4.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
9666
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
2242
178.4 IPS |
|
|
Object Detection (HP)
|
98% |
2230
177.5 IPS |
|
|
Object Detection (Q)
|
87% |
3344
268.6 IPS |
|
|
Face Detection (SP)
|
100% |
4138
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (Q)
|
95% |
7653
91.4 IPS |
|
|
Depth Estimation (SP)
|
98% |
3996
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3996
30.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
8219
66.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10340
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
10244
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18651
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2160
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4990
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
978
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1363
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (Q)
|
50% |
989
35.1 IPS |
