Samsung Galaxy S24 Ultra
Geekbench AI Score
2098
Single Precision Score
2096
Half Precision Score
2829
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 04 2024 10:02 AM |
| Views | 13 |
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 Ultra |
| Model ID | samsung SM-S928B |
| 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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
2006
373.0 IPS |
|
|
Image Classification (Q)
|
100% |
2191
407.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3107
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3562
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3103
3.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
6895
8.18 IPS |
|
|
Object Detection (SP)
|
98% |
1378
109.7 IPS |
|
|
Object Detection (HP)
|
98% |
1493
118.8 IPS |
|
|
Object Detection (Q)
|
83% |
1933
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
2546
30.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2983
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3042
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4695
43.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7150
9.28 IPS |
|
|
Style Transfer (HP)
|
89% |
7322
9.51 IPS |
|
|
Style Transfer (Q)
|
98% |
13961
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3521
130.5 IPS |
|
|
Text Classification (SP)
|
100% |
658
877.9 IPS |
|
|
Text Classification (HP)
|
99% |
624
833.0 IPS |
|
|
Text Classification (Q)
|
88% |
956
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
645
22.9 IPS |
