Samsung Galaxy S24
Geekbench AI Score
1124
Single Precision Score
1659
Half Precision Score
1611
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 10:48 AM |
| Views | 30 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
747
138.9 IPS |
|
|
Image Classification (HP)
|
100% |
810
150.5 IPS |
|
|
Image Classification (Q)
|
99% |
764
142.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1106
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1127
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2759
3.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
2730
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (Q)
|
89% |
745
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
2466
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (Q)
|
97% |
2914
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1917
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4013
30.9 IPS |
|
|
Depth Estimation (Q)
|
74% |
3734
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7409
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
11815
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11719
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1400
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
402
537.0 IPS |
|
|
Text Classification (HP)
|
100% |
411
548.7 IPS |
|
|
Text Classification (Q)
|
91% |
680
913.8 IPS |
|
|
Machine Translation (SP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
565
13.8 IPS |
