Samsung Galaxy S24 Ultra
Geekbench AI Score
401
Single Precision Score
393
Half Precision Score
886
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 02 2024 11:12 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
99% |
763
142.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
364
5.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
762
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
402
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1474
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
87% |
640
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
553
6.58 IPS |
|
|
Face Detection (HP)
|
100% |
559
6.64 IPS |
|
|
Face Detection (Q)
|
97% |
1264
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
432
3.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
964
8.75 IPS |
|
|
Style Transfer (SP)
|
100% |
710
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1910
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
930
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
350
466.6 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.6 IPS |
|
|
Text Classification (Q)
|
91% |
560
753.0 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.41 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (Q)
|
57% |
453
11.1 IPS |
